Senior Software Engineer, Compute - Remote Options Available

Join Crusoe as a Senior Engineering Manager in Compute where you will play a pivotal role in leading cutting-edge engineering teams. You will be responsible for overseeing the development and execution of our innovative computing solutions, ensuring performance and reliability across various platforms.Your leadership will guide teams toward achieving engineering excellence, fostering a collaborative environment, and driving strategic initiatives. This is an opportunity to make a significant impact within a rapidly growing company at the forefront of technology.

Join our innovative team at Glacier! This hybrid role requires in-office presence on Tuesdays and Thursdays.At Glacier, we're on a mission to address one of the most pressing challenges of our time: waste management. Did you know that over half of recyclables in the U.S. end up in landfills? We're committed to changing that narrative. Our efforts not only aim to enhance recycling practices, but also to mitigate carbon emissions, conserve energy, and protect our natural resources.We develop advanced sorting robots tailored to efficiently separate recyclables, combined with AI-driven business analytics that empower recyclers to optimize their operations and promote a more circular economy.Our technology has garnered the trust of major clients, including Colgate, Amazon, and municipal recycling facilities, as we turn recycling data into actionable insights. Our innovations have been featured in TIME's Best Inventions, a TIME documentary, and various leading publications like TechCrunch, Fortune, and CBS.The Role:We are seeking a dynamic and experienced technical leader to spearhead Glacier's Computer Vision strategy and manage our engineering team. This is a hands-on leadership position overseeing a distributed team across the U.S. and globally.Computer Vision is integral to our product offerings and significantly influences our company's achievements. This position will report directly to the co-founder and CTO.What You’ll Do:Drive the vision, strategy, and execution of Glacier's Computer Vision roadmap.Lead and cultivate our distributed Computer Vision engineering team through hiring, onboarding, and performance management.

P-931 At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world—from revolutionizing transportation to fast-tracking medical innovations. We achieve this by developing and managing the foremost data and AI infrastructure platform, enabling our clients to leverage profound data insights to enhance their enterprises. Founded by engineers with a customer-centric approach, we seize every chance to resolve technical challenges, from crafting next-generation UI/UX for data interactions to scaling our services and infrastructure across millions of virtual machines. And we’re just getting started. Within Databricks, the Compute Infrastructure organization is responsible for building and operating the essential framework that supports all Data, AI, and stateful workloads across major cloud platforms. Our system launches tens of millions of VMs daily, manages thousands of Kubernetes clusters, and must deliver exceptional elasticity, reliability, and cost-effectiveness. We are in search of an Engineering Manager to lead a team focused on pivotal components of this platform. Your contributions will significantly impact product delivery speed, customer satisfaction, and our company's scalability. The impact you will have: Own and enhance the compute platform to support all Databricks workloads, enabling engineers to create top-tier products with high velocity and superior performance. Recruit exceptional engineers and nurture their development through guidance, feedback, and career advancement opportunities. Elevate the technical and operational standards through robust design practices, rigorous testing, and a culture of engineering excellence and platform thinking. Collaborate with engineering and product leadership to establish long-term strategies and roadmaps. Lead cross-functional initiatives encompassing both product and infrastructure domains. Influence architectural decisions that extend beyond your immediate team.

At Rylo, we are revolutionizing the way video is captured and shared. Our innovative camera technology records stunning, immersive video effortlessly, eliminating the hassle of traditional filming and editing. Built by a talented team of former engineers from Instagram and Apple, our advanced stabilization software and intuitive smartphone app allow users to create beautiful videos without the stress of perfect framing or stability. Simply hit record and enjoy the magic of producing flawless video content after the fact.Watch Rylo in actionJoin us at Rylo and become part of a dynamic team focused on developing cutting-edge consumer camera technology. You will have a unique chance to drive software advancements and influence hardware design, paving the way for innovative computational photography solutions.

Databricks is looking for a Senior Software Engineer focused on Compute Infrastructure in San Francisco, California. This position centers on building and improving compute architecture to support greater performance and scalability across Databricks' platform. What you will do Develop and optimize compute infrastructure to handle demanding data processing and analytics workloads. Work closely with teams from different disciplines to deliver reliable, high-quality solutions for customers. Impact Your contributions will help define how data processing and analytics evolve at Databricks. The work directly supports customers’ ability to scale and perform complex tasks in the cloud. Who we’re looking for Strong background in cloud technologies and compute systems. Enjoys tackling complex technical challenges. Collaborative approach to problem-solving with cross-functional teams.

Role Overview Sigma Computing is seeking a Senior Director of Engineering to guide our Core Product Engineering teams in San Francisco. This leader will oversee several groups focused on advancing our core data AI applications. Reporting to the Senior Vice President of Engineering, the Senior Director will shape both technology and team culture. What You Will Do Lead with a product-focused mindset while managing and developing people. Recruit, mentor, and grow team members to support Sigma Computing’s goals, building a culture where urgency and efficiency matter. Work closely with cross-functional partners to improve development practices and processes. Communicate project plans and progress clearly across the organization. What We Look For Deep understanding of building platforms that are simple for less-technical users. Over 10 years of engineering management experience with product teams, including at least 5 years leading organizations. Strong opinions and insight into product development. Curiosity and a drive to learn new technologies quickly. Exceptional technical architecture and engineering skills, adaptable to different technology stacks. Enjoyment in working with top engineers, product managers, and architects. Commitment to excellence, innovation, and pride in your work. Location This position is based in San Francisco, CA.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from transforming transportation innovation to fast-tracking medical advancements. Our mission is to create and maintain the premier data and AI infrastructure platform that enables our clients to harness deep data insights for business enhancement. Founded by engineers with a customer-first mindset, we embrace every challenge, whether it's designing cutting-edge UI/UX for data interaction or scaling our services across millions of virtual machines. And we're just getting started.We are seeking a strategic, customer-centric, and results-driven Senior Product Manager for our Compute Platform. This platform is essential for powering Databricks workloads, offering various compute options for diverse tasks — including Classic Compute, SQL Warehouses, and Serverless Compute. It plays a critical role in many of our products and features.This position will involve extensive collaboration across teams and requires a robust technical background. You will coordinate product initiatives from conception through execution, engage with large enterprise clients to gauge their requirements, develop long-term product strategies, define product roadmaps, collaborate with engineering to create these products, and interact with various internal stakeholders (both pre- and post-launch) to ensure the success of our offerings.

About Sigma Computing Sigma Computing builds a platform designed to help businesses work smarter with modern data architecture. The company is growing its engineering team in San Francisco and looking for experienced leaders to help shape the next phase of product development. Role Overview This Engineering Manager role focuses on leading and developing a high-performing engineering team. The position involves guiding product strategy, setting priorities, and ensuring consistent progress on project goals. The manager will also support team members' career growth and oversee day-to-day management responsibilities. What You Will Do Work closely with executive leadership, cross-functional partners, and field teams to shape product strategy that aligns with business goals. Support team members in their professional growth through coaching, mentoring, and regular performance feedback. Manage execution and delivery of project roadmaps, ensuring both the business and engineering team are set up for success. Partner with recruiting to attract and hire talented engineers. Promote a culture of ownership and accountability, encouraging high standards within the team. Participate in architectural discussions and help define implementation strategies that turn user needs into efficient technical solutions. Location This position is based in San Francisco, CA.

DigitalOcean builds cloud infrastructure designed to balance scalability with ease of use. The company values teamwork, shared achievement, and a culture where learning and meaningful work go hand in hand. Based in San Francisco, this position plays a key part in shaping the future of cloud networking for a global developer community. Role overview The Senior Manager of Network Engineering leads a team responsible for advancing DigitalOcean’s datacenter network infrastructure. Reporting to the Director of Network Infrastructure Engineering, this leader manages daily network operations and drives ongoing improvements in systems and processes. What you will do Support team growth, manage performance, and foster an inclusive, collaborative environment. Collaborate with technical teams to design new network architectures. Work with senior leadership to develop multi-year technology roadmaps. Identify and resolve challenges that impact team productivity and project outcomes. Update and improve tools used for managing the network equipment lifecycle.

Join our innovative team at fal as a Staff Software Engineer specializing in large-scale computation platforms. We are seeking a seasoned software engineer with extensive experience in developing backend systems that efficiently orchestrate workloads and manage resource constraints. Your expertise in foundational cloud infrastructure and Linux provisioning will be crucial as you work towards achieving high reliability and scalability with minimal operational overhead.

Join Pinterest as a Principal Engineer for our Compute Platform, where you'll play a crucial role in driving the architecture and implementation of scalable systems that power our services. You will lead a team of talented engineers, guiding them in building innovative solutions that enhance our platform's performance and reliability.In this position, you will have the opportunity to collaborate with cross-functional teams, mentor junior engineers, and contribute to the development of best practices and high-quality code. If you are passionate about technology and eager to make an impact, we would love to hear from you!

Join us in shaping the future of on-demand logistics for grocery and retail delivery! We are seeking an accomplished Senior Machine Learning Engineer specializing in Computer Vision to drive innovations at DoorDash.About the TeamBecome part of a dynamic team dedicated to developing advanced Computer Vision models that fuel our expanding grocery and retail operations.About the RoleAs an Applied Machine Learning expert, you will be tasked with conceptualizing, designing, and implementing algorithmic enhancements to our computer vision systems. Your work will leverage our extensive data and machine learning infrastructure to refine our product knowledge graph and improve inventory accuracy in real time, ultimately enhancing Dasher efficiency. We seek a candidate who possesses a strong command of production-level machine learning and has a track record in addressing end-user challenges, with a passion for collaboration across multidisciplinary teams.You’re excited about this opportunity because you will…Develop production-grade machine learning solutions addressing consumer vision challenges like entity recognition, object detection, segmentation, and classification.Collaborate with cross-functional leaders to influence a product roadmap centered on machine learning, driving growth in a multi-billion dollar retail delivery ecosystem.Explore and utilize diverse data sources, adopting intuitive models and fostering a culture of flexible experimentation to continuously enhance user experiences.Make a significant impact while enjoying opportunities for personal and professional growth within a team focused on unlocking new market potentials.Innovate and experiment with cutting-edge technologies to solve complex challenges.

At Rylo, we are revolutionizing the way you capture and share your experiences. Our state-of-the-art camera is designed to record your surroundings with breathtaking clarity and stability, eliminating the hassle of traditional video capture. Created by a team of visionary engineers from Instagram and Apple, our innovative stabilization software and user-friendly smartphone app ensure that every shot you take is a masterpiece. With Rylo, you can focus on enjoying the moment while we handle the technicalities of creating stunning videos.Experience Rylo in actionAs a Software Engineer specializing in Computational Photography, you will play a crucial role in enhancing the core algorithms that power the Rylo camera and future products. Your work will fundamentally enhance the photography and cinematography experience, focusing on improving image quality and developing groundbreaking computational photography features. You will engage in the complete lifecycle of algorithm development, from design and implementation to quality evaluation and performance optimization, culminating in successful deployment.Your collaboration with software engineers, hardware engineers, and designers will allow you to push the boundaries of consumer camera technology.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore and analyze billions of data rows in seconds, all within a familiar spreadsheet-like interface. Sigma aims to make it simple to analyze, present, and build data-driven applications at scale. AI is central to Sigma's vision for the future. The company is expanding its use of artificial intelligence to help users build in Sigma, surface insights, and make decisions faster. What You Will Do As a Senior AI/ML Engineer, join a team focused on shaping the AI architecture behind Sigma's platform. This work directly impacts thousands of enterprises that depend on Sigma for their data workflows. The team is responsible for designing and implementing the systems that will power Sigma's AI-driven features for years to come. Location This position is based in San Francisco, CA.

Job Category: AI & RoboticsAbout Avala AIAvala AI is a pioneering AI Data Infrastructure company at the forefront of real-world AI and its integration with the labor economy. We excel in delivering high-quality data labeling, comprehensive dataset management, and insightful data visualization, providing 4D labeling solutions tailored for autonomous vehicles, humanoid robots, and drone applications. Our mission is to empower AI-driven sectors—ranging from AV companies to robotics innovators and drone enterprises—by equipping them with the essential data infrastructure to propel the next generation of intelligent systems while offering dignified digital employment opportunities globally.The RoleIn your capacity as a 3D Computer Vision Engineer at Avala AI, you will be responsible for designing and implementing cutting-edge solutions for both offline and online 3D reconstruction and scene understanding, ensuring robustness, accuracy, and performance. You will collaborate on a world-class spatial computing platform deployed extensively in autonomous vehicles, advanced robotic systems, and drone technologies. Your contributions will advance the capabilities of real-world AI while utilizing the latest advancements in deep learning and 3D computer vision techniques.What You’ll DoSpatial Computing & Reconstruction: Innovate through the application of NeRFs, Diffusion Models, Gaussian Splatting, Multiview Stereo, TSDF Fusion, Structure from Motion, and SLAM methodologies.Mission-Critical Perception: Develop robust 3D perception systems and scene understanding frameworks that enhance safety and operational performance across various robotics and AV applications.4D Data Labeling & Visualization: Work collaboratively with cross-functional teams to enhance and expand Avala’s 4D labeling platform for automobiles, humanoid robots, and drones.Software Engineering Best Practices: Apply strong coding, testing, and deployment methodologies to ensure rapid, safe, and efficient development of innovative solutions.Boundary-Pushing Innovation: Actively explore new methodologies and technologies that advance the field of 3D vision, neural rendering, and large-scale data processing.

Join Stripe as a Staff Software Engineer in our Stream Compute team, where you will play a pivotal role in building scalable solutions that power the financial infrastructure of the internet. As a member of our innovative engineering team, you will leverage your expertise to design and implement robust software solutions that enhance the performance and reliability of our streaming data capabilities.

Team and Platform Focus The Compute Infrastructure team at OpenAI designs, builds, and maintains the systems that support AI research at scale. This work brings together accelerators, CPUs, networking, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability. The aim is to create a reliable, unified experience for researchers and product teams across the company. Projects span the full stack: capacity planning, cluster lifecycle management, bare-metal automation, and distributed systems. The team manages Kubernetes scheduling, system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and improvements to the developer experience. Even small improvements in communication, scheduling, hardware efficiency, or debugging can significantly accelerate research. OpenAI matches engineers to areas within Compute Infrastructure that align with their skills and interests. Role Overview This Software Engineer role centers on building and evolving the compute platform that supports OpenAI’s research and products. Candidates may bring expertise in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or infrastructure user experience. The most important qualities are strong analytical skills, the ability to write resilient code, and a collaborative approach that helps colleagues move faster and with more confidence. What You Will Work On Working close to hardware or at the user interaction layer Developing CaaS and agent infrastructure Managing control and data planes that connect the system Bringing new supercomputing capabilities online Optimizing training workloads through profiler traces and benchmarks Improving NCCL and collective communication Analyzing GPUs, NICs, topology, firmware, thermal dynamics, and failure modes Designing abstractions to unify diverse clusters into a single platform Areas of Expertise No one is expected to cover every area listed. Some engineers focus on system performance, kernel or runtime behavior, large-scale networking protocols, RDMA, NCCL, GPU hardware, benchmarking, scheduling, or hardware reliability. Others improve the platform’s usability through APIs, tools, workflows, and developer experience. The team values strong engineering judgment and a drive to advance the field.

About the Senior AI/ML Engineer Role Sigma Computing is building tools that change how people work with data. The platform lets users sift through billions of rows in seconds, all through a familiar spreadsheet-like interface. Users can analyze, visualize, and build data applications and workflows directly in Sigma. Now, the team is taking a step further by weaving AI into the product to help users build, discover insights, and make decisions faster. This Senior AI/ML Engineer position sits at the heart of this evolution. The role focuses on creating the AI infrastructure that will drive Sigma's next chapter. The work directly supports thousands of enterprises that depend on Sigma every day. Location: San Francisco, CA

Location: North America Remote / San Francisco · Full-TimeAbout AndromedaFounded by Nat Friedman and Daniel Gross, Andromeda Cluster is on a mission to democratize access to advanced AI infrastructure for early-stage startups. Initially starting with a single managed cluster, we rapidly expanded our capabilities to build a robust orchestration layer that enhances global AI infrastructure accessibility.We collaborate with prominent AI labs, data centers, and cloud providers to ensure compute resources are efficiently delivered where and when they are most required. Our innovative platform optimizes the routing of training and inference jobs globally, enhancing flexibility and operational efficiency in one of the most dynamic markets around.Our vision is to establish the liquidity layer for global AI compute, and we are continually seeking exceptional talent in AI infrastructure, research, and engineering.The OpportunityWe are in search of an Infrastructure Manager to enhance the alignment of supply and demand on our platform. This role is an Individual Contributor position, reporting directly to the Head of Infrastructure. The Infrastructure team forms the backbone of our operations, focusing on acquiring and managing compute resources in collaboration with our compute providers, sales, and technical teams.As we scale our operations, we aim to broaden our network and liquidity while deepening our service offerings and accelerating growth.What You'll Do• Align incoming leads from the sales team with both internal and external compute capacities.• Optimize the utilization of our compute resources.• Identify and onboard new compute suppliers globally.• Source capacity tailored to customer requirements and market trends.• Address customer and supplier challenges in a fast-paced, dynamic environment.• Analyze technical and commercial differences among suppliers to refine our capacity strategies.• Formulate a proactive compute strategy driven by market insights.• Negotiate costs with suppliers and vendors.• Design and implement capacity planning processes.