Staff Software Engineer - Autonomous Freight Systems

About Mach IndustriesEstablished in 2022, Mach Industries is a dynamic and innovative defense technology firm dedicated to pioneering next-generation autonomous defense platforms. Our mission centers on providing scalable, decentralized defense systems that bolster the strategic capabilities of the United States and its allies. With a passionate team of approximately 220 employees, we embody the agility and ambition of a startup.We aim to transform the future of warfare through exceptional manufacturing, rapid innovation, and a steadfast commitment to national security. Our focus is on addressing the challenges of modern warfare with advanced systems designed to deter kinetic conflict and enhance global safety.The RoleAs a Software Engineer, you will be instrumental in the creation of our autonomous defense systems. Your responsibilities will include designing, developing, and optimizing mission-critical applications with an emphasis on real-time performance, reliability, and security. This role requires technical expertise, flexibility, and a sense of ownership, as you will engage with the entire software stack to craft and launch high-performance systems within a fast-paced environment.Key ResponsibilitiesDevelop, test, and sustain software for autonomous defense platforms, guaranteeing exceptional performance, reliability, and security.Craft and implement efficient, thoroughly tested code in C++, Rust, Python, or C to power real-time systems.Design end-to-end software solutions, from low-level firmware to high-level mission software.Collaborate closely with embedded engineers, GNC specialists, and systems engineers to ensure seamless integration of hardware and software.Optimize software for real-time execution, ensuring low-latency operation on embedded platforms and edge computing systems.Adopt secure coding practices to fortify software against cyber threats and comply with defense cybersecurity standards.Utilize DevOps, CI/CD pipelines, and automated testing to enhance software development and deployment efficiency.Diagnose, debug, and enhance complex software systems, ensuring they fulfill mission-critical reliability standards.

Software Engineer, Delivery Network Platform Join Zipline, where we are revolutionizing logistics with an autonomous delivery network. As part of the Delivery Network Platform team, you will develop the foundational systems that enable aircraft, sites, and infrastructure to operate seamlessly in live delivery scenarios. Your work will involve creating software solutions that provide operators with real-time insights and control, designing orchestration systems that manage fleet movements, and developing validation platforms to ensure the network's reliability as it scales. Your Responsibilities You will be responsible for software systems that are pivotal to fleet operations, including: Network Operating Center software for real-time visibility and interventions across aircraft, sites, missions, weather, and demand. Fleet orchestration systems for assignment, routing, scheduling, and rebalancing tasks. Maintenance and asset health systems linking issue detection to service readiness. Simulation and validation platforms to assess topology, load, and policy changes prior to production. Platform interfaces and configurable control planes that empower other teams to safely extend the network. Tackling Complex Challenges Unlike typical software roles focused on digital experiences, this position plays a critical role in managing a live autonomous logistics network. You'll address challenges such as: Maintaining an accurate real-time view of aircraft and essential site assets across the network. Ensuring the network remains operational amidst shifting demand, changing weather conditions, infrastructure issues, or capacity constraints. Creating user-friendly operator control interfaces that facilitate quick and accurate decision-making under pressure. Simulating potential future network behaviors to mitigate risks before they impact production. These systems directly affect operational performance. You will own significant components of the platform, make critical technical and product decisions, and have a substantial impact on the network's effectiveness. Team Dynamics Our team operates with a strong emphasis on ownership, trust, and high technical standards. Engineers are expected to identify significant problems, develop a clear vision for system functionality, and drive solutions from conception to production. Additionally, we encourage engineers to leverage AI tools to enhance exploration, implementation, and debugging processes while upholding strong engineering principles, judgment, and accountability.

About Us:Aurelius Systems is a venture capital-backed startup at the forefront of defense technology, specializing in the development of autonomous, edge-deployed robotic systems utilizing directed energy for counter-unmanned aerial systems (UAS).Our innovative approach involves creating laser systems designed to neutralize drones.With a dedicated team of approximately 10 engineers, former U.S. military personnel, and industry experts, we are committed to advancing America's capabilities in directed energy technology, delivering the first cost-effective and reliable laser weapon systems.Inspired by the philosophy of Marcus Aurelius, we emphasize consistent effort and accountability in our work, embodying a culture of high output without excuses. Following in the footsteps of pioneers like Henry Ford, we embrace innovation and action within our small but impactful team.In addition to our San Francisco headquarters, we are proud to operate a manufacturing hub in Detroit and conduct field tests weekly on our expansive private range.If you thrive on seeing your engineering contributions directly in action rather than being confined to a lab, we encourage you to explore this opportunity.The Position & Your Contribution:As a Robotics Software Systems Engineer, your primary responsibility will be to ensure that all subsystems function seamlessly and efficiently together.Our system comprises a complex array of subsystems including sensing, computer vision, machine learning inference, control systems, power management, and mechanical actuation. Achieving minimal processing time and inter-process latency is crucial for successfully targeting our nimble and evasive UAS.The key area we are looking to fill is real-time systems performance at the hardware interface. You should possess a deep understanding of how software execution impacts physical system behavior, how latency accumulates across CPU, GPU, memory, and I/O, and how bandwidth limitations influence sensor data processing. We need an engineer who is detail-oriented, considering microseconds, memory bandwidth, cache behavior, and system determinism.In our tight-knit team of around 10 engineers, you will have the opportunity to take ownership of systems that are field-tested. The success of our tests is binary—it's either effective or it isn't—and your role will involve iterative improvement based on real-world outcomes.Your Responsibilities:Manage the latency budget for the entire platform, from data sensing to actuation.Profile and mitigate latency across CPU, GPU, memory, and I/O interfaces.Develop and optimize kernels for high-throughput, low-latency operations.Adjust memory access patterns for optimal performance.

Role overview Flexport seeks an Engineering Manager to lead the Autonomous Freight Systems team in San Francisco. This role focuses on developing technology that automates and streamlines freight and logistics operations. The manager will guide a group of engineers as they create solutions aimed at improving operational efficiency. What you will do Lead and mentor engineers working on autonomous systems for freight operations Oversee the design and rollout of new technology within the logistics sector Work to enhance processes and increase efficiency using automation Location Based in San Francisco, California, United States.

About Emergent Labs Emergent Labs Inc. builds autonomous coding agents that translate plain-language instructions into production-ready software. Our systems support development at a global scale, powering millions of real-world applications. Growth and Impact $100M ARR reached within 8 months of public launch Platform serves 6 million users in over 190 countries More than 6.5 million applications created on our platform Raised over $100 million from investors such as Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator Mission and Team Our mission focuses on solving the toughest problems in AI-driven software: correctness, reliability, security, and scalability in real production environments. The team includes experienced founders, Olympiad medalists, and former leaders from Google, Amazon, and Dropbox. Who We’re Looking For We value builders ready to take ownership and drive meaningful change on a global scale.

Mach Industries, founded in 2022, develops autonomous defense platforms for the United States and allied nations. The company employs around 220 people and combines a startup’s pace with a mission to deliver scalable, decentralized defense systems. The team focuses on strengthening strategic capabilities and supporting national security through advanced manufacturing and rapid technical progress. Innovation and reliability guide every system built to deter conflict and improve global security. Role overview Software Engineers at Mach Industries shape the core technology behind autonomous defense systems. The work covers the full software stack, from low-level firmware to high-level mission software. This position centers on designing, building, and optimizing mission-critical applications where real-time performance, reliability, and security are essential. Technical depth, adaptability, and a strong sense of ownership are important in this role. What you will do Develop, test, and maintain software for autonomous defense platforms, focusing on performance, reliability, and security. Design and implement efficient, well-tested code in C++, Rust, Python, or C for real-time systems. Architect end-to-end software solutions, spanning firmware to mission-level applications. Collaborate with embedded engineers, GNC (Guidance, Navigation, and Control) experts, and systems engineers to ensure smooth hardware-software integration. Optimize software for real-time execution and low-latency operation on embedded and edge computing platforms. Apply secure coding practices to protect software from cyber threats and meet defense cybersecurity standards. Use DevOps tools, CI/CD pipelines, and automated testing to streamline development and deployment. Troubleshoot, debug, and refine complex software systems to meet high reliability standards. Location This position is based in San Francisco.

Join Lyft's cutting-edge team as a Senior Software Engineer focused on Autonomous Vehicle technology. You will play a pivotal role in developing software solutions that enhance the safety and efficiency of our autonomous fleet. Your work will directly impact the future of transportation, making it safer and more accessible for all.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has tirelessly worked on the Waymo Driver—The World’s Most Experienced Driver™—with a mission to enhance mobility access and prevent countless lives lost to traffic accidents. Our innovative Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to a variety of vehicle platforms and applications. With over ten million rider-only trips and a wealth of experience from autonomous driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states, we are leading the charge towards safer roads.As a Tech Lead for the software-fault release evaluation team, you will spearhead the development of a comprehensive system that executes a simulation-based "virtual driver’s test" for the Waymo Driver. This initiative is critical in identifying lingering software faults, such as "divide-by-zero" or "out-of-memory" errors, which could compromise the reliability of the Waymo Driver in real-world scenarios.

AeroVect is seeking a highly skilled Staff Engineer to elevate our autonomous driving systems within structured, low-speed environments. In this pivotal role, you will spearhead the growth and development of our core autonomy software team in a dynamic, early-stage startup environment. Your extensive experience in building production-grade systems will drive the AeroVect Driver to new heights, establishing industry-leading vehicle autonomy tailored for the airport operational design domain.Your responsibilities will encompass leading the design and implementation of vital enhancements across core modules such as planning, prediction, perception, localization, and controls. You will integrate both innovative techniques and reliable, off-the-shelf solutions to optimize all autonomous driving and towing functionalities, delivering exceptional value and efficiency to the modern supply chain.This role presents an exciting opportunity for a technically adept, hands-on leader to contribute to a groundbreaking enterprise product that merges autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. You will report directly to our co-founders.Key Responsibilities:Define, lead, and manage the development of an autonomous driving stack specifically designed for structured logistics environments. Anticipate spending 70% of your time on hands-on development while dedicating the remaining 30% to defining project requirements, managing schedules, overcoming challenges, mentoring the team towards ambitious goals, and building a team of elite engineers.Oversee a team of engineers responsible for the deployment of all components essential for dependable autonomous driving operations in the airside environment, including vehicle corridors and apron areas.Design, implement, test, and maintain all facets of ground vehicle autonomy, incorporating planning, prediction, perception, localization, controls, and infrastructure subsystems.Ensure all subsystems are qualified using objective metrics, with a strong focus on functional safety and adherence to systems engineering best practices.Collaborate with vehicle engineering teams to forge an integrated system, addressing sensor and computing selection and integration.Stay informed of the latest advancements in the field.

DoorDash Labs is an innovative team at DoorDash, dedicated to developing autonomous delivery robots and cutting-edge autonomy solutions that power DoorDash's delivery platform, utilized by millions worldwide. If you are passionate about the intersection of robotics and service technology, we would love to connect with you!About the RoleWe are on the lookout for a highly skilled and hands-on Senior Electrical Engineer to spearhead the design and development of electrical systems for our four-wheeled autonomous delivery robot. This pivotal role involves delivering high-quality, production-ready hardware that encompasses high-speed digital design, PCB assembly, RF integration, harnessing, and board-level packaging.This position is highly technical, ideal for individuals who can navigate both system-level concepts and intricate circuit designs with ease.What You’ll DoDesign and innovate electrical systems for a complex mobile robotic platform, from initial concept to production.Lead high-speed digital design initiatives, including PCIe, MIPI, Ethernet, DDR, and multi-gigabit SERDES.Oversee PCBA development, including schematic capture, stack-up definition, layout guidance, impedance control, and design for manufacturability.Drive RF integration efforts including Wi-Fi, LTE/5G, GNSS, Bluetooth, RADAR, and LiDAR, focusing on antenna placement, layout constraints, and signal integrity.Develop and assess cable harness designs, connector selection, grounding strategies, and environmental robustness.Collaborate closely with mechanical engineers on board packaging, thermal management, vibration resistance, and environmental sealing.Define and implement power distribution architectures, battery interfaces, protection circuits, and system monitoring.Ensure adherence to EMI/EMC and regulatory standards (FCC/CE) including CISPR-25 and FCC Part 15 Class A.Support prototype builds and troubleshoot hardware/firmware interface issues, quickly identifying root causes and driving corrective actions.Establish design standards and conduct comprehensive design reviews within the electrical engineering team.Engage cross-functionally with firmware, robotics, systems, manufacturing, and reliability teams.

AeroVect is seeking a highly skilled Senior Planning Engineer to contribute to the design of cutting-edge planner systems for autonomous driving in structured, low-speed environments.In this pivotal role, you will take ownership of, enhance, and scale a critical planning module within our fast-paced, innovative startup. Drawing on your expertise in developing production-grade planners, you will elevate the AeroVect Driver to adeptly manage a variety of driving scenarios, establishing a benchmark for vehicle autonomy in airport operational design.Your responsibilities will encompass leading the system design and executing key enhancements to the existing AeroVect planner, which includes the global mission planner, behavior planner, and motion planner.As a generalist engineer, you will be integral to the core autonomy team, focusing on system requirements and validating autonomous driving capabilities across multiple areas of the autonomy stack. Your key tasks will involve designing, implementing, testing, and documenting robotic systems and features in C/C++ across both desktop and embedded platforms.This is an exciting opportunity for a technically adept and hands-on team leader to help forge a market-defining enterprise product that merges autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. You will work closely with our co-founders and the autonomy engineering team.Key ResponsibilitiesDefine, implement, and take ownership of practical enhancements to the core planner module, focusing on achieving milestones, expanding the team, and collaborating with internal and external partners. Expect to dedicate 80% of your time to hands-on development while leading the planning module roadmap, managing schedules, eliminating obstacles, and mentoring the team to achieve ambitious goals.Lead a team of engineers in deploying all components essential for reliable autonomous driving in airside environments, including vehicle corridors and aprons.Design, implement, test, and support all facets of ground vehicle autonomy, which includes planning, prediction, perception, localization, controls, and infrastructure subsystems.Qualify all subsystems using objective metrics, with a strong emphasis on functional safety and adherence to systems engineering best practices.Collaborate with vehicle engineering teams to develop an integrated system, encompassing sensor and compute selection and integration.Stay informed about the latest advancements in the field.

Join Crusoe as a Principal Systems Software Engineer and play a vital role in revolutionizing the tech industry. You will lead the development of innovative software solutions that enhance our systems and platforms, contributing to the overall mission of providing efficient and sustainable computing resources. Your expertise will help shape the future of our software architecture and ensure seamless integration across various applications.

About Our Team:Join the innovative Database Systems team at OpenAI, where we specialize in high-performance distributed databases. We are the architects behind Rockset, a cutting-edge real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. Rockset underpins core functionalities across all OpenAI product lines and supports various critical internal applications.About the Role:We are in search of engineers who are passionate about distributed systems, performance optimization at a low level (with our core engine developed in C++), and constructing scalable database infrastructures from scratch. As a member of the Database Systems team, you will play a key role in enhancing the core database engine, making significant contributions to ingestion, query execution, indexing, and storage improvements. You will collaborate with multiple teams across OpenAI to unlock new product capabilities and ensure the reliability and scalability of our online database as usage expands exponentially.Your Responsibilities Will Include:Design, develop, and maintain high-performance distributed systems.Identify and address performance bottlenecks to elevate infrastructure capabilities.Define and guide the long-term technical vision and evolution of the system.Collaborate with product, engineering, and research teams to deliver robust and scalable infrastructure.Investigate complex production issues across the entire technology stack.Contribute to incident response, retrospective analyses, and establishing best practices for system reliability.You Will Excel In This Role If You:Possess substantial experience in building, scaling, and optimizing distributed systems.Exhibit a keen interest in database internals, storage engines, or low-latency query systems.Enjoy tackling complex performance challenges in high-throughput systems.Have experience managing and operating production clusters at scale (e.g., Kubernetes or similar orchestration tools).Approach scalability, correctness, and reliability with a rigorous mindset.Thrive in a fast-paced environment where you can make a significant impact.Qualifications:4+ years of relevant industry experience with a focus on distributed systems.Proficiency in C++ or similar low-level programming languages.Strong problem-solving skills and attention to detail.Experience with performance monitoring and optimization tools.Excellent collaboration and communication skills.

Join us at sfcompute, where we are revolutionizing the future by mitigating risks associated with the largest infrastructure development in history.As the demand for GPU clusters surges, financing these data centers and their supporting infrastructure has never been more critical. Our innovative approach ensures that financing is secured through long-term contracts, providing peace of mind to both lenders and developers.In the fast-paced world of AI and compute resources, we are creating a liquid market for GPU offtake, allowing even small startups to access high-end computing power without the burdens of traditional financing.About the RoleAs a Systems Software Engineer at sfcompute, you will be instrumental in developing a GPU market that brings the advanced software capabilities of hyperscalers to our innovative GPU neoclouds. Your responsibilities will encompass provisioning and monitoring bare metal servers with our virtualization orchestration software, as well as collaborating with our GPU marketplace to facilitate user configurations of VMs, networks, and storage.Key tasks include creating and maintaining a Linux OS image tailored for our tools, ensuring consistent deployment across nodes with specific data-center adjustments, and designing the API protocols and servers for user interaction.Our primary programming language is Rust, which enables us to write efficient code across all system layers, from web servers to kernel coordination. If you are familiar with memory-managed languages like C and possess experience in higher-level programming, we encourage you to apply.

Waymo is at the forefront of autonomous driving technology, aspiring to become the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver – recognized as The World’s Most Experienced Driver™. Our mission is to enhance mobility access and significantly reduce the number of lives lost in traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hailing service, having completed over ten million rider-only trips, with more than 100 million miles driven autonomously on public roads and tens of billions simulated across 15+ U.S. states.Our Systems Engineering team is a dynamic group that integrates software and hardware systems in innovative ways. We set the highest performance standards to ensure our vehicles operate seamlessly and prioritize passenger safety. We are in search of passionate individuals who excel in teamwork and are driven to achieve impactful results.This position follows a hybrid work model, reporting to a Systems Engineering Manager.

About Lumafield: Established in 2019, Lumafield has pioneered the development of the world's first accessible X-Ray CT scanner specifically designed for engineers. Our intuitive scanner, combined with cloud-based software, empowers engineers to gain unparalleled insights into their projects at a remarkably affordable cost. Engineers face high-stakes decisions daily, necessitating tools that provide maximum visibility into their designs. By delivering exceptional product clarity and AI-enhanced tools that identify issues and produce quantitative insights, Lumafield is set to transform the creation, manufacturing, and application of complex products across various sectors. Our company thrives on impact and is dedicated to delivering the utmost value to our customers, ensuring their needs drive our development. Our talented team consists of leading researchers, industrial designers, PhD holders, innovators, and startup founders, all working collaboratively without egos. We proudly receive backing from prestigious venture capital firms, including Kleiner Perkins, Lux Capital, DCVC, and Spark Capital.Headquartered in Cambridge, MA, with an additional office in San Francisco, CA, we are excited to grow our team.About the Role: As a Senior Systems Software Engineer at Lumafield, you will be instrumental in developing the software that drives our cutting-edge, in-line manufacturing CT scanning products. You will engage with state-of-the-art X-ray physics, high-speed detectors, image processing, and embedded systems. Collaborating within a small team focused on our latest hardware, you will harness your expertise to maximize system performance and achieve outstanding results for our clients. This position is perfect for those eager to take ownership of embedded systems, firmware, and software design in an early-stage product environment. This role is based in our San Francisco, CA office, with occasional travel required to our Cambridge, MA office.

About Our TeamThe Platform Systems team at OpenAI is at the forefront of innovation, merging advanced AI technologies with large-scale distributed systems. We are tasked with creating the engineering and research infrastructure essential for training OpenAI's premier models on some of the most powerful, custom-built supercomputers globally.Our team is dedicated to developing the core software for model training, delving deep into the technological stack. This encompasses collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we design are pivotal to enhancing OpenAI's research capabilities, facilitating reliable and efficient training at the leading edge of technology.We work in close partnership with researchers across the organization, continuously integrating insights from various OpenAI projects to advance our training platform.About the RoleAs a Software Engineer specializing in Platform Systems, you will architect and develop distributed systems that enhance visibility into large-scale training operations, ensuring their dependable operation at scale.Your responsibilities will include designing systems for failure detection, tracing, and observability that pinpoint slow or malfunctioning nodes, identify performance bottlenecks, and assist engineers in optimizing extensive distributed training tasks. This infrastructure is integral to the functionality of OpenAI's training stack and is continuously evolving to accommodate new use cases and increasingly intricate workloads.This position is central to our training infrastructure, merging systems engineering, performance analysis, and large-scale debugging.Key ResponsibilitiesDesign and develop distributed failure detection, tracing, and profiling systems tailored for large-scale AI training jobs.Create tools to identify slow, faulty, or errant nodes and deliver actionable insights into system behavior.Enhance observability, reliability, and performance across OpenAI's training platform.Troubleshoot and resolve issues within complex, high-throughput distributed systems.Collaborate effectively with systems, infrastructure, and research teams to advance platform capabilities.Adapt and expand failure detection and tracing systems to support new training paradigms and workloads.Ideal Candidate ProfilePossesses a deep passion for performance, stability, and observability in distributed systems.Demonstrates proficiency in systems engineering and performance analysis.Has experience in debugging high-throughput distributed systems.Exhibits strong collaboration skills with a track record of working with cross-functional teams.Shows adaptability and eagerness to embrace new technologies and methodologies.

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available.About Our Team:At OpenAI, we are at the forefront of technology, creating foundational platform software that ensures our consumer products are reliable, secure, and high-performing. Our team collaborates across various system layers, working closely with engineering partners to deliver exceptional capabilities from initial concept to final launch.Role Overview:We are looking for a passionate Systems Software Engineer to lead the design, implementation, and debugging of critical platform components and the pipelines that build and update system images. Your focus will span across operating system layers, emphasizing performance optimization, security enhancements, and in-depth system debugging to deliver production-grade systems that exceed expectations.Key Responsibilities:Design and develop robust system-level components and services within both kernel and user spaces.Configure and maintain essential OS platform services (init, services, networking, security policies) and related tools.Build and manage image and update pipelines, ensuring their reliability, reproducibility, and rollback safety.Instrument system performance through profiling and tracing; enhance CPU, memory, I/O, and energy efficiency.Oversee platform observability and reliability, including logging, crash capture, watchdogs, and diagnostics.Collaborate with cross-functional teams to define interfaces and deliver comprehensive end-to-end features.Establish and promote strong engineering practices such as code reviews, continuous integration, reproducible builds, and effective release management.Work alongside external vendors to support builds and deployments.You Will Excel in This Role If You:Have successfully launched production systems software on modern operating systems.Possess proficiency in C/C++ and a scripting language, with a strong understanding of OS internals including concurrency, memory management, filesystems, networking, and power management.Demonstrate exceptional systems debugging skills utilizing debuggers, tracers, profilers, and logs across kernel/user-space boundaries.Comprehend the configuration of platform services and interfaces, effectively translating requirements into stable, well-documented APIs.Are knowledgeable about user-space foundations including service management, IPC, networking, packaging, and automation.Have experience collaborating with external partners to deliver high-quality software solutions.

About MagicalMagical is a cutting-edge automation platform that integrates advanced AI technology into the healthcare sector, providing AI agents that deliver tangible results in production environments.Our mission is to create AI-driven "employees" that streamline tedious, time-intensive workflows that hinder team productivity. We focus on the healthcare industry—a $4 trillion sector entangled in administrative challenges—by automating processes like claims processing, prior authorizations, and eligibility checks, allowing healthcare providers to dedicate more time to patient care.Our AchievementsThe move towards agentic automation in healthcare is on the horizon, and we are at the forefront:Significant revenue growth as clients expand into new workflows prior to renewalRapid 7-day proof-of-concept implementations that showcase real value, unlike the typical months-long processes in the industrySelf-healing automations that are reliable and scalable in production environments, a feat where many competitors struggleUnlike many AI companies that make grand claims, we deliver dependable solutions that yield measurable outcomes. Our funding partners include Greylock, Coatue, and Lightspeed, with a total of $41M raised. Our founder, Harpaul Sambhi, has previously achieved success by selling his first company to LinkedIn.About the RoleAs the Engineering Manager for our Autonomous team, you will lead and grow a talented group of engineers committed to shaping the future of AI agent development, continually pushing the limits of AI and backend system capabilities.Your passion for management will shine as you nurture the professional growth of your engineers. You possess the technical expertise necessary to engage in intricate architectural discussions and translate complex technical hurdles into clear business strategies. In this position, you will be a vital link between our product vision and technical implementation.This role offers a hybrid work environment, requiring 2 days a week in our San Francisco office.