Customer Engineer at Kernel | San Francisco

Join Our Team at KernelAt Kernel, we are revolutionizing the way developers interact with the digital world through our innovative platform, offering Lightning-Fast Browsers-as-a-Service for seamless browser automation and advanced web agents. Our cutting-edge API and MCP server empower developers to effortlessly launch browsers in the cloud, eliminating the complexities of infrastructure management.Our serverless browser platform takes the hassle out of autoscaling, reliability, and observability, allowing developers to concentrate on their agents' functionality rather than the underlying processes. Kernel transforms AI into a practical and impactful tool, enabling developers to deploy agents that can genuinely engage with online environments.Trusted by industry leaders such as Cash App and Rye for applications ranging from comprehensive research to QA automation and real-time web analysis, we have successfully raised $22M from prominent investors including Accel, YCombinator, and others.With just one line of code, any web agent can be deployed to our cloud—what happens next is up to you. If you are passionate about creating essential infrastructure for the future of AI applications, we would love to connect.

About KernelKernel is an innovative developer platform that delivers Lightning-Fast Browsers-as-a-Service for browser automation and web agent deployment. Our API and MCP server empower developers to effortlessly launch cloud-based browsers without the hassle of infrastructure management.Our serverless browser solution takes care of the complexities: autoscaling, dependable browser infrastructure, observability, and intricate web interactions, allowing developers to concentrate on their agents' functionality rather than the underlying technology. Kernel brings AI to life, enabling developers to create agents that genuinely engage with the digital landscape.Our platform is trusted by teams at Cash App, Rye, and many others for various tasks including in-depth research, QA automation, and real-time web analysis. We recently secured $22M in funding from notable investors such as Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), and Charlie Marsh (Astral).With just a single line of code, you can deploy any web agent to our cloud infrastructure. If you are passionate about developing essential infrastructure for the future of AI applications, we would love to connect with you.

About KernelKernel is a cutting-edge developer platform that offers Lightning-Fast Browsers-as-a-Service tailored for browser automation and web agent creation. Our API and MCP server enable developers to seamlessly launch browsers in the cloud without the hassle of infrastructure management.Our serverless browser platform takes care of the complex tasks: autoscaling reliable browser infrastructure, ensuring observability, and managing the intricate details of web interactions, allowing developers to concentrate on their agent functionalities rather than the underlying processes. Kernel brings AI to life, making it practical and powerful, empowering developers to deploy agents that can effectively engage with the digital landscape.We are trusted by teams at Cash App, Rye, and numerous others for diverse applications like in-depth research, QA automation, and real-time web analysis. We have successfully secured $22M in funding from notable investors including Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), among others.With just one line of code, you can deploy any web agent to our cloud. The rest is in your hands. If you're passionate about developing critical infrastructure for the next generation of AI applications, we would love to connect.

About KernelKernel is a cutting-edge developer platform that offers Lightning-Fast Browsers-as-a-Service for browser automations and web agents. Our API and MCP server empower developers to effortlessly launch browsers in the cloud without the hassle of managing infrastructure.Our serverless browser platform takes care of the complex aspects: autoscaling reliable browser infrastructure, observability, and intricate web interactions, enabling developers to concentrate on the functionality of their agents rather than the underlying details. Kernel transforms AI into a tangible, practical, and powerful tool, allowing developers to deploy agents capable of genuine interaction with the digital landscape.We pride ourselves on being trusted by teams at Cash App, Rye, and numerous others for deep research, QA automation, and real-time web analysis. We have successfully secured $22M in funding from top investors including Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), and more.With just one line of code, you can deploy any web agent to our cloud. The rest is in your hands. If you are passionate about building essential infrastructure for the next wave of AI applications, we would love to hear from you.About the RoleAs a Product Engineer at Kernel, you will be a full-stack engineer who values product development as much as coding. You possess the ability to translate your strong product instincts into code, ranging from pixel-perfect UI decisions to backend API architecture. You proactively contribute to the specification process rather than waiting for one to be provided.You will collaborate closely with our co-founders to define product direction, deliver full-stack features from end to end, and ensure that Kernel maintains its polished yet powerful appearance.Your ResponsibilitiesLead the full-stack implementation of user-facing product surfaces: dashboard, onboarding, website, and core product functionalities.Influence the product roadmap by integrating customer feedback, analyzing usage patterns, and leveraging your own insights into developer needs.Enhance developer experience across our SDK, documentation, CLI, and API, delivering the kind of seamless experience that makes developers exclaim, 'this just works.'Rapidly prototype and iterate, bringing features from concept to production with minimal oversight.Help shape the standards for building a superior developer product at Kernel.Your QualificationsYou are comfortable taking ownership of features from frontend to backend, demonstrating a holistic understanding of product development.A strong passion for creating seamless user experiences and an ability to translate product vision into functional code.Experience working in a fast-paced environment with a focus on agile methodologies.

At Magic, our goal is to develop safe AGI that propels humanity forward by addressing some of the most pressing challenges we face. We are committed to harnessing the power of automated research and code generation to enhance models and improve alignment in ways that surpass human capabilities. Our innovative methodology integrates cutting-edge pre-training, domain-specific reinforcement learning, ultra-long context, and advanced inference-time computing.Role OverviewAs a Kernel Engineer, you will be responsible for the design, implementation, and maintenance of high-performance kernels, aiming to optimize throughput and minimize latency during both training and inference processes.Magic's extended context windows present unique kernel optimization challenges, particularly regarding memory efficiency, data movement, and sustained throughput.Key ResponsibilitiesDesign and develop kernels that facilitate high-performance long-context functionality.Take ownership of kernel design, implementation, deployment, and ensure production reliability.Emphasize robustness, thorough testing, and functional accuracy while striving for optimal performance.Assess the feasibility of porting Magic’s compute kernels to various hardware platforms.Collaborate with the training, inference, and reinforcement learning teams to co-design kernels.Explore our work through the Magic-Attention, presented at GTC 2026.QualificationsExperience in low-level programming for AI accelerators, including NVIDIA Blackwell or Google TPUs.Proficient in developing and optimizing GPU kernels using frameworks such as NCCL, MSCCLPP, CUTLASS, CuTeDSL, Triton, Quack, and Flash Attention.

At Thinking Machines Lab, our ambition is to enhance human potential by advancing collaborative general intelligence. We envision a future where individuals have the tools and knowledge to harness AI for their distinct requirements and aspirations.Our team comprises dedicated scientists, engineers, and innovators who have contributed to some of the most renowned AI products, including ChatGPT and Character.ai, along with open-weight models like Mistral, and influential open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking an Infrastructure Research Engineer to architect, optimize, and sustain the computational frameworks that facilitate large-scale language model training. You will create high-performance machine learning kernels (e.g., CUDA, CuTe, Triton), enable effective low-precision arithmetic operations, and enhance the distributed computing infrastructure essential for training expansive models.This position is ideal for an engineer who thrives in close collaboration with hardware and research disciplines. You will partner with researchers and systems architects to merge algorithmic design with hardware efficiency. Your responsibilities will include prototyping new kernel implementations, evaluating performance across various hardware generations, and helping to establish the numerical and parallelism strategies crucial for scaling next-generation AI systems.Note: This is an evergreen role that remains open continuously for expressions of interest. We receive numerous applications, and there may not always be an immediate opportunity that aligns with your qualifications. However, we encourage you to apply, as we regularly assess applications and will reach out as new positions become available. You are also welcome to reapply after gaining additional experience, but please refrain from applying more than once every six months. Additionally, you may notice postings for specific roles catering to particular projects or team needs. In such cases, you are encouraged to apply directly alongside this evergreen listing.What You’ll DoDesign and develop custom ML kernels (e.g., CUDA, CuTe, Triton) for key LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for contemporary GPU and accelerator architectures.Conceptualize compute primitives aimed at alleviating memory bandwidth bottlenecks and enhancing kernel compute efficiency.Collaborate with research teams to synchronize kernel-level optimizations with model architecture and algorithmic objectives.Create and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.Contribute to the stability and scalability of our infrastructure, ensuring it meets the growing demands of AI development.

At Sciforium, we are at the forefront of AI infrastructure, innovating next-generation multimodal AI models and a proprietary high-efficiency serving platform. With substantial funding and direct collaboration from AMD, supported by their engineers, our team is rapidly expanding to develop the complete stack that powers cutting-edge AI models and real-time applications.About the RoleWe are on the lookout for a talented GPU Kernel Engineer who is eager to explore and maximize performance on modern accelerators. In this role, you will be responsible for designing and optimizing custom GPU kernels that drive our advanced large-scale AI systems. You will navigate the hardware-software stack, engaging in low-level kernel development and integrating optimized operations into high-level machine learning frameworks for large-scale training and inference.This position is perfect for someone who excels at the intersection of GPU programming, systems engineering, and state-of-the-art AI workloads, and aims to contribute significantly to the efficiency and scalability of our machine learning platform.Key ResponsibilitiesDevelop, implement, and enhance custom GPU kernels utilizing C++, PTX, CUDA, ROCm, Triton, and/or JAX Pallas.Profile and fine-tune the end-to-end performance of machine learning operations, particularly for large-scale LLM training and inference.Integrate low-level GPU kernels into frameworks such as PyTorch, JAX, and our proprietary internal runtimes.Create performance models, pinpoint bottlenecks, and deliver kernel-level enhancements that significantly boost AI workloads.Collaborate with machine learning researchers, distributed systems engineers, and model-serving teams to optimize computational performance across the entire stack.Engage closely with hardware vendors (NVIDIA/AMD) and stay updated on the latest GPU architecture and compiler/toolchain advancements.Contribute to the development of tools, documentation, benchmarking suites, and testing frameworks ensuring correctness and performance reproducibility.Must-Haves5+ years of industry or research experience in GPU kernel development or high-performance computing.Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related discipline.Strong programming proficiency in C++, Python, and familiarity with machine learning frameworks.

ABOUT BASETENAt Baseten, we empower the world's leading AI firms—such as Cursor, Notion, and OpenEvidence—by delivering mission-critical inference solutions. Our unique blend of applied AI research, robust infrastructure, and user-friendly developer tools enables AI pioneers to effectively deploy groundbreaking models. With our recent achievement of a $300M Series E funding round supported by esteemed investors like BOND and IVP, we're on an exciting growth trajectory. Join our dynamic team and contribute to the platform that drives the next generation of AI products.THE ROLEWe are looking for an experienced Senior GPU Kernel Engineer to join our innovative team at the forefront of AI acceleration. In this role, your programming expertise will directly enhance the performance of cutting-edge machine learning models. You'll be responsible for developing highly efficient GPU kernels that optimize computational processes, allowing for transformative AI applications.You'll thrive in a fast-paced, intellectually challenging environment where your technical skills are pivotal. Your contributions will directly affect production systems that serve millions of users across various platforms. This position offers exceptional opportunities for career advancement for engineers enthusiastic about low-level optimization and impactful systems engineering.EXAMPLE INITIATIVESAs part of our Model Performance team, you will engage in projects like:Baseten Embeddings Inference: The quickest embeddings solution availableThe Baseten Inference StackEnhancing model performance optimizationRESPONSIBILITIESCore Engineering ResponsibilitiesDesign and develop high-performance GPU kernels for essential machine learning operations, including matrix multiplications and attention mechanisms.Collaborate with cross-functional teams to drive performance improvements and implement optimizations.Debug and refine kernel code to achieve maximal efficiency and reliability.Stay abreast of the latest advancements in GPU technology and machine learning frameworks.

Join Zyphra as a Research Engineer specializing in AI Performance and Kernel Optimization. In this role, you will work at the forefront of AI technologies, developing and optimizing kernel solutions that enhance the performance of our systems. You will collaborate with cross-functional teams, leveraging your expertise to drive innovation and efficiency.

Join our dynamic team at bland as a Customer Engineer, where you will play a crucial role in enhancing our customer satisfaction and support. This position is ideal for individuals who are passionate about technology and customer engagement. You will be responsible for troubleshooting technical issues, providing solutions, and ensuring that our customers have a seamless experience with our products.

Join Our Team as a Customer EngineerTavus is at the forefront of human computing innovation. We are dedicated to creating AI Humans—an interface designed to seamlessly connect people and machines, eliminating the barriers present in existing technologies. Our advanced real-time human simulation models empower machines to perceive, respond, and engage as if they were human, facilitating genuine conversations.Imagine a world where everyone has access to an affordable therapist, a personal trainer that fits your lifestyle, or a team of medical assistants dedicated to providing personalized care. With Tavus, developers, enterprises, and individuals can harness AI Humans to connect, comprehend, and act with empathy at scale.As a Series B company, we take pride in our backing from renowned investors like Sequoia Capital, Y Combinator, and Scale Venture Partners. Join us in crafting a future where humans and machines truly understand one another.Role OverviewThis role transcends conventional engineering jobs. As a Customer Engineer, you will navigate two dynamic environments:Customer Engagement (30–40%) — Collaborate directly with clients to troubleshoot integrations, facilitate adoption, and assist them in creating exceptional solutions with Tavus.Product Development (remaining time) — Create SDKs, prototypes, and enhancements to our core platform, ensuring Tavus remains powerful, user-friendly, and enjoyable.You will serve as a vital link between our customers and the engineering team, transforming real-world challenges into actionable product improvements. Your goal is straightforward: guarantee that every developer and creator enjoys a seamless and captivating experience with Tavus, supported by comprehensive documentation, guides, tools, and product advancements.Key ResponsibilitiesEngage directly with clients to debug issues, develop proof of concepts, and design tailored solutions.Construct prototypes, SDKs, sample applications, and tools that enhance the developer experience.Gather user feedback, recognize patterns, and translate insights into product and engineering enhancements.Collaborate on early feature adoption by testing pre-release features with customers, collecting feedback, and proposing iterative improvements.Contribute to the definition of a world-class customer experience.

Hayden AI creates mobile perception systems that help transit agencies and city governments solve transportation challenges. The team’s technology supports bus lane and stop enforcement, improves street safety, and helps make transit systems more efficient and sustainable. This Senior Firmware Engineer role is based at Hayden AI’s San Francisco headquarters. The position sits within the Device Software team and focuses on the low-level software stack powering the company’s edge AI systems. Work centers on direct interaction with hardware to ensure reliable, high-performance operation in real-world settings. Responsibilities Develop and maintain Linux kernel modules and device drivers for embedded platforms. Integrate hardware and software layers for edge AI devices to ensure stable operation. Work closely with hardware engineers and other software teams to deliver high-performance solutions. Troubleshoot and resolve firmware issues in deployed environments. Requirements Significant experience with Linux kernel and device driver development. Strong background in embedded systems and low-level programming. Comfort working directly with hardware and debugging complex system interactions. Experience with edge AI or similar real-time systems is a plus.

P-1285 About This Role Join our dynamic team at Databricks as a Staff Software Engineer specializing in GenAI Performance and Kernel. In this pivotal role, you will take charge of designing, implementing, and optimizing high-performance GPU kernels that drive our GenAI inference stack. Your expertise will lead the development of finely-tuned, low-level compute paths, balancing hardware efficiency with versatility, while mentoring fellow engineers in the intricacies of kernel-level performance engineering. Collaborating closely with machine learning researchers, systems engineers, and product teams, you will elevate the forefront of inference performance at scale. What You Will Do Lead the design, implementation, benchmarking, and maintenance of essential compute kernels (such as attention, MLP, softmax, layernorm, memory management) tailored for diverse hardware backends (GPU, accelerators). Steer the performance roadmap for kernel-level enhancements, focusing on areas like vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, and auto-tuning. Integrate kernel optimizations seamlessly with higher-level machine learning systems. Develop and uphold profiling, instrumentation, and verification tools to identify correctness, performance regressions, numerical discrepancies, and hardware utilization inefficiencies. Conduct performance investigations and root-cause analyses to address inference bottlenecks, such as memory bandwidth, cache contention, kernel launch overhead, and tensor fragmentation. Create coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend compatibility, and maintainability. Influence architectural decisions to enhance kernel efficiency (including memory layout, dataflow scheduling, and kernel fusion boundaries). Guide and mentor fellow engineers focused on lower-level performance, conducting code reviews and establishing best practices. Collaborate with infrastructure, tooling, and machine learning teams to implement kernel-level optimizations in production and assess their impacts.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems, from detecting security threats to advancing cancer drug development. We achieve this by offering the premier data and AI platform, allowing our customers to concentrate on their mission-critical challenges. The Mosaic AI organization assists companies in developing AI models and systems utilizing their own data, employing technologies that range from training large language models (LLMs) from the ground up to employing advanced retrieval methods for enhanced generation. We pride ourselves on pushing the boundaries of science and operationalizing our innovations. Mosaic AI believes that a company’s AI models hold intrinsic value, akin to any other core intellectual property, and that superior AI models should be accessible to all. Job Overview As a research engineer in the Scaling team, you will stay abreast of the latest advancements in deep learning and pioneer new methodologies that surpass the current state of the art. You will collaborate with a diverse team of researchers and engineers, sharing insights and expertise. Most importantly, you will be passionate about our customers, striving to ensure their success in implementing cutting-edge LLMs and AI systems by translating our scientific knowledge into practical applications. Your Impact Enhance performance through innovative optimization techniques, including kernel fusion, mixed precision, memory layout optimization, tiling strategies, and tensorization tailored for training-specific patterns. Design, implement, and optimize high-performance GPU kernels for training workloads, including attention mechanisms, custom layers, gradient computations, and activation functions, specifically for NVIDIA architectures. Create and implement distributed training frameworks for large language models, incorporating parallelism strategies (data, tensor, pipeline, ZeRO-based) and optimized communication patterns for gradient synchronization and collective operations. Profile, debug, and optimize comprehensive training workflows to pinpoint and resolve performance bottlenecks, utilizing memory optimization techniques such as activation checkpointing, gradient sharding, and mixed precision training.

About the Role OpenAI is looking for a Software Engineer specializing in Kernel Performance and AI Tooling to join the team in San Francisco. This role centers on improving software systems for maximum efficiency and building advanced tools that support AI development. What You Will Do Optimize kernel-level performance across OpenAI's software stack. Design and implement tools that accelerate AI research and deployment. Work closely with engineers to identify bottlenecks and deliver practical solutions. Contribute to technical discussions and share knowledge with teammates. Team and Collaboration Work alongside engineers who are committed to advancing AI technology. Collaboration and innovation are central to the team’s approach.

Why Choose FluxAt Flux, we are revolutionizing the hardware landscape by introducing the world's first AI Hardware Engineer. Our mission is to democratize cutting-edge hardware creation and transform the way electronics are designed and manufactured globally.Role OverviewWe are seeking a forward-thinking, technically inclined individual to serve as one of our pioneering Customer Success Engineers. In this role, you will collaborate closely with product, design, engineering, and growth teams, concentrating on empowering customers to successfully utilize Flux for their electronic design needs. Your responsibilities will include delivering training, troubleshooting issues, and translating customer feedback into actionable insights that will inform our future direction.Key ResponsibilitiesConduct technical onboarding and training for new customers, guiding them through Flux’s design environment to ensure they quickly achieve their first significant breakthrough.Analyze and resolve electrical design challenges and application issues, utilizing your Electrical Engineering expertise to lead users to successful solutions.Create educational materials—such as documentation, videos, and sample designs—to enhance knowledge sharing throughout our community.Collect and synthesize customer feedback to shape product priorities and enhance our platform.Work in tandem with engineering and product teams to triage bugs and implement customer-requested features.Foster and maintain robust relationships with customers, acting as their trusted advisor and advocate within Flux.Examine usage data to identify friction points or potential churn and collaborate with cross-functional teams to mitigate these issues.Who You AreYou hold a degree in Electrical Engineering or a related discipline and possess experience in designing PCBs or electronic systems.You have a minimum of 3 years of experience in customer-facing technical roles, including customer success, solutions engineering, or field applications engineering.You are enthusiastic about helping others and can clearly articulate complex technical concepts into actionable guidance.You are adept at troubleshooting circuit designs and can explain trade-offs to both technical and non-technical audiences.You excel in dynamic, fast-paced startup environments and enjoy the challenge of ambiguity.

Join Us at Granola! If you haven't already, explore the innovative solutions we are developing and discover why becoming a part of our team is a great opportunity.Granola is proudly utilized by some of the world's leading and fastest-growing companies, including industry giants like DoorDash, Gusto, and Salesforce. Originally designed and built in London, we have expanded our reach and now primarily serve a US customer base. To support our growth trajectory, we have opened a vibrant office in San Francisco, which will act as the center for our North American market strategies.At Granola, we are revolutionizing the concept of customer support in an AI-driven environment. Our Customer Experience (CX) team is not just highly technical; we are empowered to directly engage with the codebase. We believe in addressing the root causes of issues rather than merely applying temporary fixes. Our focus is on delivering lasting solutions that enhance our product and the customer experience.As one of our first hires in San Francisco, you will play a pivotal role as a Customer Experience Engineer. We are in search of a motivated individual who is eager to redefine what exceptional technical support embodies. You will not merely escalate tickets to product engineers; instead, you will collaborate with them to enhance our product and tools.Your ResponsibilitiesManage Technical Escalations: Take ownership of complex tickets requiring in-depth analysis, ensuring effective communication with users and thorough investigations.Investigate Issues: Utilize Cloudwatch logs, console logs, SQL queries, Amplitude analytics, and Retool dashboards to thoroughly address customer concerns.Implement Fixes: Leverage Cursor and AI-assisted tools to make necessary code changes and resolve customer issues expediently without relying on product engineers.Develop Internal Tools: Create and enhance internal tools and infrastructure to boost the efficiency of the entire CX team.Lead on Critical Customer Issues: Triage tickets, engage in preferred communication channels, and participate in calls to swiftly diagnose and resolve problems.Bridge to Engineering: Document bugs with technical details, identify trends, and advocate for product enhancements.Write Documentation: Produce clear documentation to facilitate faster resolutions of similar issues in the future.What We SeekTechnical Skills:Experience with debugging and troubleshooting complex technical issues.Proficiency in SQL, analytics tools, and cloud-based logging systems.Familiarity with AI-assisted coding tools.Passion for developing efficient processes and enhancing customer experiences.

About Lumafield:Founded in 2019, Lumafield is on a mission to transform the landscape of manufacturing. Our team of seasoned engineers brings extensive expertise across the product development cycle, addressing the frustrations associated with the high costs and complexities of modern manufacturing. We aim to enhance this process.Engineers make crucial, multi-million dollar decisions daily, and require tools that provide unparalleled insight into their products. Lumafield offers exceptional visibility and AI-driven tools that not only pinpoint issues but also generate valuable quantitative data, poised to revolutionize the creation, manufacturing, and utilization of complex products across various sectors. Our journey started with industrial CT scanning, an underutilized yet invaluable tool that facilitates rapid, non-destructive inspection of essential components.We have reengineered the entire system, from X-ray capture and computer vision analysis to web-based collaboration and overall business model, making cutting-edge manufacturing technology accessible to all industries. Our company, much like our platform, is designed for continuous improvement. We are committed to fostering greater intelligence, autonomy, and speed, striving for operational excellence and insightful analytics. And we will continue to evolve.About the Role: As a Customer Success Manager (CSM) at Lumafield, you will be integral in partnering with our customers, advocating for their needs within our organization, and managing accounts to drive business outcomes and revenue growth.You will oversee the customer lifecycle, from post-sale onboarding to renewals and expansions, acting as a trusted advisor for stakeholders, fostering advocacy within accounts, and ensuring customers derive significant value from our products.Operating at the intersection of advanced industrial technology and customer strategy, you will lead business reviews, develop and implement mutual success plans, and enhance net revenue retention through strategic account growth.This role requires not only technical expertise in engineering analysis but also the business acumen to translate technical achievements into tangible business value, facilitating discussions with executive stakeholders within customer organizations.

Join Us on an Exciting Journey!As a Customer Delivery Engineer (CDE) at Loft Orbital, you will be at the helm of deploying and executing our customers' satellite missions. You will act as the primary technical liaison, translating mission objectives into operational achievements—from initial requirements and Concept of Operations (ConOps) development to commissioning, on-orbit operations, and ongoing enhancements.In this role, you will engage with real spacecraft, collaborating closely with clients to create mission applications utilizing Loft's API and operational framework. Your expertise will be critical in converting mission goals into actionable workflows, configurations, and tools that guarantee dependable and scalable execution in space. Sitting at the crossroads of satellite operations, customer engineering, software development, systems engineering, and program execution, you will drive impactful results for every mission you support.

Role overview The City and County of San Francisco is seeking an Associate Engineer to join the Environmental department. This position plays a part in citywide efforts to improve public health and meet sustainability targets. The work centers on supporting projects that benefit the community and the environment. What you will do Assist with planning, designing, and carrying out environmental initiatives Collaborate with colleagues on projects that make a direct impact in San Francisco neighborhoods Contribute to efforts that promote public health and advance sustainability throughout the city Location This role is located in San Francisco.