Founding Systems Engineer

Join Hire Hangar and work with fast-growing global companies while building a long-term career. Job Title| Founding Systems Engineer (Performance) Location | On-Site — San Francisco, CA Time Zone | PST Role Overview: We are seeking a Founding Systems Engineer to join the earliest technical team at a fast-moving AI video infrastructure startup. The company's first product turns prompts and documents into whiteboard-style explainer videos in seconds, with a broader vision to make video generation fast, cheap, and programmable enough for AI to use video anywhere it uses text today. This is one of three founding engineering hires, focused on the technical systems that make the core product fast, efficient, and high quality. The ideal candidate genuinely enjoys understanding real system behavior, profiling bottlenecks, improving difficult product paths, and building clean interfaces around complex internals. A background in robotics, embedded systems, or electronics engineering is a strong signal for the kind of systems-level thinking this role requires. Key Responsibilities: Improve speed, efficiency, quality, and reliability across core product workflows Profile and debug bottlenecks across application code, media workflows, data movement, and infrastructure boundaries Build benchmarking, regression tracking, and test harnesses for important system behavior Improve concurrency, caching, batching, scheduling, and resource usage Design internal interfaces that make complex technical systems easier for the rest of the product team to use Work close to product needs while making deep technical improvements under the hood Required Qualifications: - Strong systems engineering fundamentals — you think naturally about latency, throughput, memory, CPU, GPU, I/O, and resource efficiency - Experience improving production software where performance actually matters - Proficiency in C++ or similar low-level languages, in addition to higher-level backend work - Ability to measure before optimizing and explain tradeoffs concretely - Good taste for building simple, clean abstractions around complex internals - Comfortable using AI tools to move faster, while using personal judgment to define the problem and drive the solution - Must be willing to work on-site in San Francisco, CA Preferred Qualifications: - Background in robotics, embedded systems, or electronics engineering - Comfort working below the obvious product surface when needed - Track record of shipping specific, measurable performance improvements in production Tools & Technology: - C++ or similar low-level languages - Backend/API frameworks and databases - Cloud infrastructure and deployment tooling - AI-assisted development tools We connect top talent with vetted employers, competitive pay, and real growth opportunities.