Software Engineer Specializing in Real-time Graphics

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.

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.

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.

Agency Notice: We are not currently collaborating with recruitment agencies for this position. Please refrain from contacting Vizcom employees about this role. Any resumes submitted without prior agreement will be considered unsolicited.Why Join Vizcom?At Vizcom, we are on a mission to transform the design process by simplifying the journey from concept to creation, allowing impactful ideas to materialize in the physical world. Backed by significant funding (Series B with $51 million raised to date), we are experiencing robust growth and are expanding our core engineering team in San Francisco. Our projects span a wide range of areas including real-time collaboration, large-scale GPU inference, and leveraging a modern TypeScript stack to serve enterprise needs.The RoleAs a Senior Software Engineer – Graphics (Rendering & Real-Time Systems), you will be responsible for the rendering and interactivity layer that powers Vizcom’s creative canvas. Your work will encompass everything from brush simulation to real-time lighting and 3D previews, challenging the boundaries of what is achievable in the browser. You will engage with technologies such as WebGL, WebGPU, and AI-assisted graphics, collaborating with design and AI teams to make creativity feel instantaneous. In your first 90 days, you will: deliver a core rendering improvement (e.g., new brush pipeline, shader cache, or culling system) that enhances frame stability or interactivity; create a graphics profiling toolkit or debugging overlay to visualize GPU performance in production; ship an experimental graphics feature to production or beta users (for example, stylized rendering, 3D lighting, or layered compositing); and document a graphics architecture RFC clarifying design decisions and performance budgets.Compensation$195,000 - $225,000 annually + Equity OptionsWhat You’ll Be DoingBuild and Optimize the Rendering Engine: Design and refine Vizcom’s core WebGL/WebGPU pipeline to achieve high performance and visual fidelity.Enhance Real-Time UX: Develop seamless brush and material interactions, animation systems, and responsive 3D previews.Integrate AI Solutions: Collaborate to incorporate GPU inference outputs (such as diffusion, segmentation, and line following) into interactive visual workflows.Performance Optimization: Profile GPU and CPU paths, minimize frame latency, and optimize memory usage for real-world applications.

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.

About UsAt Aurora, we are on a mission to make self-driving technology safe, swift, and accessible to everyone.The Aurora Driver is set to usher in a new era of mobility and logistics, fostering a future that is not only safer but also more efficient and accessible. Joining Aurora means tackling complex challenges alongside a team of dedicated and talented individuals, enhancing your expertise while broadening your knowledge base. For the latest updates from Aurora, visit aurora.tech or connect with us on LinkedIn. At Aurora, we seek out talented individuals from diverse backgrounds eager to contribute to a transportation ecosystem that enhances road safety, ensures timely delivery of essential goods, and promotes efficient and accessible mobility for all. We are currently on the lookout for a Graphics Pipeline Engineer.Key Responsibilities:Lead the technical execution of cross-functional projects, translating stakeholder needs into robust code while exemplifying engineering best practices.Design and implement foundational Python frameworks, services, and APIs that underpin our synthetic data ecosystem. This is a hands-on role requiring frequent coding and deployment.Champion the adoption and standardization of USD as the foundational data backbone for our pipeline.Serve as the lead developer and subject matter expert for our most intricate pipeline challenges, troubleshooting complex technical issues and engineering scalable solutions.

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.

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.

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.

Join Airtable as a Senior Software Engineer in the Compute team where you'll play a pivotal role in developing scalable and robust software solutions. You will collaborate with cross-functional teams to design and implement innovative features that enhance our platform's capabilities. Your expertise in software engineering principles and practices will be essential as you contribute to a dynamic and agile environment.

We are seeking a talented Senior Graphic Designer to join our dynamic team at Planet Labs. In this role, you will be responsible for creating visually stunning designs that communicate our brand’s mission and values. You will collaborate with cross-functional teams, transforming complex ideas into compelling visual narratives that resonate with our audience.The ideal candidate possesses a strong portfolio showcasing innovative design solutions and a keen eye for detail. Your work will help shape our visual identity and enhance our marketing efforts.

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 Our TeamAt OpenAI, we believe that security is the cornerstone of our mission to ensure artificial general intelligence serves the greater good of humanity.Our dedicated Security team is responsible for safeguarding OpenAI’s technology, personnel, and products. We take a technical approach in our creations while maintaining operational excellence in our processes. Our core principles include prioritizing impactful work, empowering our researchers, preparing for revolutionary technological advancements, and fostering a strong culture of security.About the PositionTrusted Computing and Cryptography is a specialized engineering and security unit within OpenAI’s Security organization. Our focus areas include:Implementing high-performance cryptographic solutions at scaleManaging keys securely, including offline physical backups and multi-party computation strategiesUtilizing trusted hardware enclaves for functionalities ranging from boot measurements to GPU confidential computationWe are on the lookout for a talented software engineer to join our team and enhance the security of our vital computing infrastructure, concentrating on trusted computing and cryptography at scale.This role offers the flexibility of working remotely from anywhere in the US, with occasional travel to our San Francisco headquarters or other locations as necessary. We embrace a hybrid work model that encourages three days in the office weekly and provide relocation assistance for new hires.Your Responsibilities:Develop high-quality, performance-critical applications in Rust and Python.Collaborate with researchers, engineers, and security experts to seamlessly integrate and scale advanced cryptographic methodologies in our production and research systems.Create foundational libraries that underpin cryptographic operations and integrate security best practices into our infrastructure.Design, implement, and maintain secure key management systems for our production environments.Architect and deploy systems that instill trust in our infrastructure, utilizing security technologies such as TPM2, Secure Boot, Nitro Enclaves, confidential computing solutions, Intel SGX, and AMD-SEV.Research, design, and implement operating system-level security measures, including remote attestation and runtime TPM measurements.