Engineering Manager, Compute Optimization

About Zoox Zoox develops autonomous driving technology, integrating advanced hardware and software to deliver a seamless self-driving experience. The company focuses on efficiency, requiring precise calibration of compute hardware and highly optimized algorithms to achieve strong performance while keeping power use low. Team Overview The Software Performance Team ensures the Processing Control Unit (PCU) operates reliably and efficiently. This group is responsible for maintaining the performance of on-board autonomy software, meeting strict latency requirements, and upholding critical safety standards. Role Overview: Engineering Manager, Compute Optimization The Engineering Manager for Compute Optimization leads a team of software performance engineers within the Software Core Performance group. This team works to significantly improve the runtime of on-board software. The role sits at a key intersection of Machine Learning Platform, Core Software, and Autonomy Software, supporting Zoox’s focus on efficient compute use across the organization.

Replit is redefining the landscape of software development with a groundbreaking platform that empowers individuals to create applications using natural language. With millions of users globally, including over 500,000 businesses, Replit is committed to democratizing software development by removing traditional hurdles.About the Role:We are on the lookout for skilled distributed systems engineers who are eager to design and implement innovative solutions for application deployment. Your primary objective will be to enhance the infrastructure capabilities of Replit, optimize performance across various global regions, and ensure an exceptional user experience through efficient solutions. If you possess a solid foundation in software development, a thorough understanding of cloud technologies, and a proven history of delivering high-quality code, we invite you to join our team.In This Role, You Will:Advance Replit's cloud infrastructure offerings: Launch new cloud products that empower the Replit Agent to create complex applications. Collaborate with cross-functional teams to design and execute features that provide developers with a complete suite of tools for efficient application building and deployment.Boost reliability and scalability: Identify performance bottlenecks, optimize critical paths, and implement comprehensive monitoring and alerting systems. Work closely with the SRE team to guarantee high availability and minimal downtime, enabling our clients to effortlessly scale their applications to accommodate a growing user base.Enhance cloud infrastructure utilization: Assess infrastructure costs and pinpoint optimization opportunities. Develop strategies to minimize cloud expenses while maintaining performance and reliability, utilizing techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your contributions will play a vital role in improving the financial efficiency of our cloud services.Required Skills and Experience:Expertise in distributed systems: Proven experience with platform-as-a-service, distributed storage, or information retrieval systems. A strong background in designing scalable architectures and optimizing systems for latency and cost.Innovative problem-solving: A pragmatic approach to complex challenges with the ability to devise effective solutions. You embrace radical thinking while delivering results incrementally.Self-motivated and autonomous: Capable of working independently, establishing priorities, and driving projects to completion.

Conviva is at the forefront of providing intelligence solutions for digital businesses, transforming consumer interactions into outcome-driven insights. Our innovative platform links engagement patterns across AI agents, applications, websites, and streaming video to tangible results, including purchases, bookings, and resolved support requests. By leveraging our patented Time-State Technology®, the Conviva® Operational Data Platform empowers enterprises with real-time insights and automation that fuel growth, enhance customer satisfaction, and foster enduring trust. Are you an enthusiastic and quick learner eager to join a dynamic AI and engineering team revolutionizing analytics in the digital and agentic experience landscape? We are looking for a Product Manager to spearhead the development of our Agent Experience Analytics product, which is a vital component of our Digital Intelligence Platform focused on optimizing applications, websites, and AI agents. AI agents are rapidly emerging as a key digital interface alongside mobile and web platforms. However, organizations often grapple with fundamental questions: Are my agents effective in achieving desired outcomes? What factors contribute to their success? How can we enhance their behavior, reliability, and user satisfaction? How do we ensure that an agent can continuously adapt to the evolving landscape? Conviva offers industry-leading solutions to these challenges. This position presents a unique opportunity to define and dominate a new category: analytics and optimization for AI agent experiences, supported by strong platform foundations, real customer challenges, and a history of groundbreaking innovation. In this role, you will collaborate closely with engineering, design, and go-to-market teams to translate ambiguous and rapidly evolving market signals into reliable products. You will be responsible for quick releases, continuous learning, and setting the strategic direction for the future of agent analytics.

Join Zoox as an AI Inference Engineer specializing in Model Optimization & Deployment, where you will play a vital role in advancing our cutting-edge autonomous vehicle technology. You will be responsible for optimizing AI models to ensure efficient deployment and high performance in real-world scenarios. Your expertise will help shape the future of mobility.

At Zoox, we are redefining the future of transportation by creating autonomous robotaxis that prioritize safety, reliability, sustainability, and user enjoyment. As we advance towards the public deployment of our robotaxis, now is an exciting time to join our team and contribute significantly to this groundbreaking mission. The ML Platform team at Zoox is pivotal in driving advancements in machine learning (ML) and computer vision (CV), ensuring a seamless autonomous driving experience for all.Your Role:Are you passionate about spearheading ML Performance Optimization efforts? In this role, you will enhance our Training and Inference platforms, maximizing the speed and efficiency of our autonomous driving capabilities. Collaborating across various ML teams, including Perception, Prediction, Planning, Simulation, Collision Avoidance, and Advanced Hardware Engineering, you will play a vital role in pushing the boundaries of ML practices at Zoox.You will oversee the development and operation of foundational ML tools, deep learning frameworks, and inference systems that support our applied research teams in both on-vehicle and off-vehicle ML applications. Leading a team of talented software engineers, you will amplify our internal customers' capabilities. As our robotaxi deployments expand and we explore new ML domains, this position offers tremendous growth opportunities. For more insights into our technology stack behind autonomous driving, please visit here.

Join Zoox, a pioneering force in autonomous mobility, as we embark on an innovative journey to create a comprehensive robotaxi solution designed for urban environments. We are looking for a dedicated System Safety Engineer to conduct thorough safety analyses of intricate electronic and software systems, particularly focusing on high-performance computing. As a vital member of Zoox's System Design and Mission Assurance (SDMA) team, you will play a crucial role in identifying enhancements to our safety concepts, implementing mechanisms to detect and mitigate hardware failures, and conducting residual risk assessments. Your efforts will be instrumental in ensuring the safe deployment of cutting-edge autonomous driving technology.

Join Zoox as a Senior Software Engineer, where you will play a pivotal role in enhancing cost optimization and driving efficiency within our cutting-edge High-Performance Computing (HPC) infrastructure. As we advance our autonomous vehicle initiatives, effective resource management and cost efficiency are paramount to our success. You will spearhead the modernization of our HPC platform, leveraging state-of-the-art technologies such as Ray.io, SLURM, and Kubernetes. Your primary focus will be to maximize resource utilization, minimize waste, and lower cloud expenditures while ensuring rapid developer productivity.Our HPC services are integral to the development workflows across all Zoox software teams, encompassing data engineering, AI model training in Perception, Planner, Prediction, Simulation, and beyond. Your contributions will directly influence Zoox's financial performance through tangible cost savings and enhanced operational efficiency.This role offers significant autonomy, allowing you to shape Zoox's computing economics strategy both on a technical and organizational level. Collaborating closely with stakeholders from Autonomy and Software teams, you will balance performance goals with budgetary constraints, applying FinOps best practices and the latest cost optimization methodologies.

Onsite in Foster City, CA | at least 3 days onsiteThe Perception team seeks a talented Machine Learning Engineer to innovate advanced Computer Vision modules, significantly enhancing the onboard perception capabilities of our robotic fleet. This position will directly influence safety and operational efficiency. The ideal candidate will engage in the complete design and development process, encompassing data collection, dataset creation, and the design and implementation of machine learning models. Key Responsibilities:Architect and develop in-cabin Computer Vision ML modules for critical safety and monitoring applications.Implement advanced Perception model architectures and sophisticated training methodologies.Create high-quality datasets utilizing inputs from our sensor stack and large-scale data.Validate and optimize solutions through real-world driving scenarios, directly enhancing the safety and reliability of our autonomous systems. Essential Qualifications:Bachelor's Degree in Computer Science or Computer Engineering with a minimum of 4 years of relevant experience.Proficient in modern Computer Vision and Machine Learning, especially in areas like 3D reconstruction, detection, classification, and semantic segmentation.Experience in training and deploying Deep Learning models.Strong programming skills in C++ and/or Python.Exceptional communication abilities. Preferred Qualifications:Familiarity with any of the following:Experience in the self-driving industry.Expertise in integrating ML models within latency-sensitive systems.Proficiency in CUDA programming. Employee Benefits:Comprehensive Health Care Plan (Medical, Dental, and Vision).Life Insurance (Basic and Voluntary, including AD&D).Generous Paid Time Off (Vacation, Sick Leave, and Public Holidays).Opportunities for Training and Development.Retirement Plan options (401k, IRA).

About Zoox Zoox develops fully autonomous electric vehicles designed for a driverless future. The company focuses on improving transportation safety, sustainability, and accessibility. Collaboration and forward thinking drive the team’s work as they aim to set new standards in the industry. Part-Time Student Worker Program This program offers hands-on experience with advanced technology and support from experienced professionals. Student workers contribute to real projects while learning directly from experts. Zoox seeks applicants who have strong academic records, stay involved outside the classroom, and show curiosity and enthusiasm for the company’s mission. Project Overview: Performance Optimization & Agentic Systems The platform architecture team is seeking a detail-oriented, analytical student worker. The main focus is to design and run performance optimization experiments for software processes running on high-performance CPU and GPU systems, especially those using NVIDIA hardware. Location Foster City, CA

Join Zoox as a Senior/Staff Electrical Engineer in our Compute team, where you will play a pivotal role in designing and implementing cutting-edge electrical systems for autonomous vehicles. You will collaborate with multidisciplinary teams to create innovative solutions that enhance vehicle performance and safety.Your expertise will contribute to the development of reliable and efficient electrical architectures, ensuring that our systems are optimized for real-world applications. If you are passionate about shaping the future of transportation and possess a strong background in electrical engineering, we invite you to apply!

Position Summary Tipalti is on the lookout for a Senior Search & Technical SEO Manager to spearhead the technical and strategic initiatives driving organic growth across our global web presence. This pivotal role emphasizes the creation of robust frameworks that allow Tipalti to excel in traditional search engines, AI-driven overviews, and cutting-edge answer engines like ChatGPT, Perplexity, and other generative search platforms. You will convert business priorities, product positioning, and market demand signals into scalable search strategies that enhance Tipalti’s authority in high-intent financial operations categories, including accounts payable automation, global payments, procurement, and ERP integrations. The responsibilities will encompass technical SEO strategies, optimization of product and pillar pages, site architecture, Generative Engine Optimization (GEO), and off-site authority development. This ensures that Tipalti’s website and content ecosystem are optimized for maximum discoverability and impact on the inbound pipeline. Collaborating closely with WebOps, corporate marketing, CRO, and agency partners, you will influence the evolution of Tipalti’s site structure, content ecosystem, and authority signals to thrive in modern search ecosystems. Why join Tipalti? Tipalti is an AI-powered platform revolutionizing finance automation, enhancing the operations of finance teams in the global economy. We empower our clients to scale efficiently and intelligently by simplifying the complexities of global business and optimizing their finance operations. Our comprehensive suite of finance automation solutions is tailored for mid-market enterprises across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. We partner with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 companies globally to securely and efficiently pay millions of suppliers and payees across over 200 countries and territories in 120 currencies. At Tipalti, we cherish our collaborative culture, the excellence of our product, and the capabilities of our people. Tipaltians are passionate about their work and dedicated to achieving success together. We offer competitive benefits, a flexible work environment, career coaching, and a culture where diversity thrives and makes a significant impact. Our ethos ensures that everyone leaves their egos at the door and is ready to strive for collective success. Founded in Israel in 2010, Tipalti is a global enterprise headquartered in the San Francisco Bay Area (Foster City) with offices across Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi, and Medellin.

Join Zoox as a Design Reliability Engineer and play a crucial role in enhancing the safety and performance of our cutting-edge autonomous vehicles. Collaborate with a team of innovative engineers specializing in robotics, control systems, and vehicle engineering to utilize virtual tools and methodologies that optimize vehicle durability and performance. You will focus on predictive maintenance strategies and lifespan assessments, ensuring our vehicles meet the highest standards of reliability.

Join our dynamic team at 360itprofessionals1 as an AWS Project Manager. You will play a crucial role in overseeing and managing our cloud-based projects on the AWS platform, ensuring they are executed efficiently and effectively. This position requires a strong understanding of project management methodologies and cloud technologies.

Join Zoox as a Machine Learning Engineer specializing in 3D vision perception! In this role, you will be at the forefront of developing cutting-edge technologies that empower autonomous vehicles to perceive and understand their environment in three dimensions. Utilize your expertise in machine learning and computer vision to create innovative solutions that enhance the safety and efficiency of our self-driving systems.

Replit is a groundbreaking platform that revolutionizes software creation, empowering individuals to build applications seamlessly using natural language. With a thriving community of millions and over 500,000 businesses utilizing our services, Replit is on a mission to democratize software development and eliminate the conventional barriers that hinder application creation.About the Opportunity:As a member of our innovative engineering team, you will embark on a 12-week, paid internship where you will collaborate with top-tier engineers, designers, and product managers to shape the future of software development. You will work on impactful features that serve millions, ranging from our AI-driven development environment to the infrastructure that supports dynamic collaboration.This internship goes beyond traditional learning; you will contribute meaningful code that furthers the democratization of software creation. Whether you're optimizing cloud infrastructure, crafting user-friendly developer tools, or enhancing our AI capabilities, your contributions will empower creators globally.Your Responsibilities:Deliver real features to our extensive developer community using Replit's platformEngage in cross-functional collaboration with engineers, designers, product managers, and AI researchersEnhance developer experiences that make coding accessible for everyoneDevelop and optimize cutting-edge AI tools and infrastructure that drive the next wave of software creationGain insights from industry leaders in a dynamic environment that values your ideas and contributionsQualifications:Currently enrolled in a Bachelor's, Master's, or PhD program in Computer Science, Computer Engineering, or a related technical disciplineMust have at least one semester of academic coursework remaining post-internshipProficient in at least one programming language with comfort in full-stack developmentDemonstrated passion for developer tools, AI, and making technology accessibleAbility to thrive in a fast-paced environment and adapt to shifting prioritiesOur Core Values:Innovative Problem Solving: Approach complex challenges with strategic thinking and create effective solutionsCollaboration: Foster a culture of teamwork and support to achieve shared goalsInclusivity: Embrace diversity and create an environment where everyone’s voice is heard

Join Zoox as a passionate and skilled Endpoint Engineering Manager to lead our innovative Endpoint Engineering team, also recognized as Client Platform Engineering. In this crucial position, you will be responsible for the design, implementation, and management of desktop environments across Windows, macOS, and Ubuntu platforms using advanced central management tools. Your leadership will ensure peak performance, robust security, and an exceptional user experience. You will oversee a talented team of six engineers, including specialists in Virtual Desktop Infrastructure (VDI), and play an instrumental role in enhancing employee satisfaction and productivity throughout the organization.

Join Zoox on our groundbreaking quest to innovate and implement a fully autonomous mobility solution designed for urban environments. We are looking for a skilled Senior/Staff Systems Verification and Validation (V&V) Engineer to enhance our Platform Safety Assurance team within the System Design and Mission Assurance (SDMA) division. In this pivotal role, you will leverage your expertise in systems engineering to ensure both fail-safe and fail-operational behaviors, critical for the successful deployment of our driverless robotaxi service. Your contributions will directly influence the safety and operational integrity of our fleet through the development of our compute-platform safety case.

Join the innovative 3D Simulation team at Zoox, where we are at the forefront of merging cutting-edge machine learning with advanced 3D vision technology. We are seeking passionate machine learning engineers to help enhance the realism in simulations and promote diversity within virtual environments. You will leverage unparalleled access to world-class sensor data and a robust infrastructure designed for rigorous testing and validation of your algorithms. Our ML team is dedicated to generating intricate and diverse 3D environments, including lifelike representations of humans and varying environmental conditions. Your contributions will be instrumental in shaping the future of automated driving technology.

At Replit, we empower individuals to create software effortlessly using natural language. Our platform is a transformative tool, making software development accessible to millions globally by eliminating conventional barriers to application creation.About the Position:We are on the lookout for an Engineering Manager specializing in User Experience to shape the future of AI-driven user interfaces. In this pivotal role, you will lead and nurture a talented team that integrates design and engineering to develop intuitive and high-performance user interfaces, ensuring software creation is seamless across all devices. Your leadership will guide the team in crafting production-ready frameworks and design patterns that enhance the in-product experience. Additionally, you will play a crucial role in developing core user interfaces for AI interactions.Your Responsibilities:Cultivate, mentor, and expand a team of frontend engineers, reinforcing Replit's commitment to excellence in UI design and craftsmanship.Establish the technical vision and strategic direction for developing and enhancing user interface frameworks, enabling Replit to deliver high-quality user experiences swiftly.Collaborate with design and product engineering teams to comprehend, prioritize, and address requirements effectively.Define an ambitious vision for the evolution of AI user interfaces and assist the team in outlining the steps necessary to realize this vision.Support the Design team in refining designs with a keen eye on technical constraints, timelines, and resources.Leverage your extensive knowledge of technology, product, and UI to enhance the quality, performance, and engagement of Replit’s primary surfaces.Required Qualifications:A minimum of 4 years of engineering management experience with a proven ability to build and scale high-performing teams. Demonstrated success in delivering ambitious projects that necessitate collaboration across multiple teams and departments.Strong technical expertise in several of the following areas: React, CSS, CSS frameworks, mobile web, and Figma.Exceptional communication skills that balance technical leadership with effective people management, including mentoring, performance evaluation, and career development.A passion for user experience.Extensive recruiting experience in assembling teams rich in talent.A flexible mindset to lead during changing conditions.

Join the dynamic 3D Simulation team at Zoox as a Senior Machine Learning Engineer specializing in 3D sensor simulation. In this pivotal role, you will harness advanced machine learning and generative AI techniques alongside state-of-the-art 3D graphics to create realistic simulations of various sensors, including cameras, lidar, and radar. You will have unparalleled access to top-tier sensor data and a robust infrastructure designed for thorough testing and validation of your algorithms. Collaborate closely with teams across Sensor Simulation, Perception, and Verification & Validation to enhance the accuracy and realism of sensor simulations. Your contributions will be critical in generating high-fidelity synthetic data for autonomous vehicle training and testing, as well as supporting real-time sensor data for hardware-in-the-loop simulations.