About the role

Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking an experienced Camera Systems Software Engineer to own camera integration and enablement for real-time robotic systems built on NVIDIA Tegra platforms. This person will be responsible for the full camera lifecycle, from defining

requirements with external camera partners to integrating, debugging, and maintaining low-latency camera pipelines using the Tegra camera stack. This is a highly hands-on systems role that sits at the intersection of Linux, camera hardware, real-time software, calibration, synchronization, and high-level software interfaces. The ideal candidate has deep experience bringing up camera sensors, debugging low-level hardware/software issues, working with camera vendors, and building reliable APIs that expose synchronized camera data to perception, robotics, and autonomy systems.

Responsibilities Own camera systems end to end, including vendor

requirements, sensor/module selection, hardware bring-up, software integration, debugging, calibration, validation, and long-term maintainability. Work directly with camera vendors and hardware partners to define

requirements for custom cameras, including sensors, optics, frame rates, exposure behavior, synchronization, timestamping, calibration needs, mechanical constraints, thermal constraints, and image-quality targets. Develop and maintain low-level camera software, including sensor configuration, camera drivers, device-tree changes, capture-path validation, timestamp handling, metadata handling, and camera control interfaces. Debug camera issues across the hardware/software boundary, including MIPI CSI-2, GMSL or FPD-Link, I2C control, power/reset/clock sequencing, dropped frames, timestamp instability, bandwidth limits, corrupted images, ISP behavior, and sensor-mode configuration. Design reliable, low-latency camera pipelines for real-time robotic systems, with careful attention to buffering, memory movement, CPU/GPU interaction, scheduling, throughput, timing jitter, and dropped-frame behavior. Build clean high-level APIs that expose camera frames, timestamps, metadata, calibration parameters, diagnostics, and health/status information to perception, autonomy, logging, and product software. Collaborate closely with perception, robotics, embedded systems, electrical engineering, and external hardware partners to ensure the camera stack is reliable, observable, and production-ready. Preferred

Skild AI is building the world's first general-purpose robotic intelligence — an omnibodied AI brain that can be deployed into any hardware platform, from humanoid robots to warehouse automation systems to quadrupeds. Founded in 2022 and headquartered in San Mateo, California, Skild AI takes a fundamentally different approach to the robotics race: rather than building a single robot, they've created a platform-agnostic foundation model that makes any robot a dramatically better version of itself.

The company operates at the intersection of massive-scale machine learning and physical robotics, believing that data-driven AI is the key to unlocking robust robotic intelligence that adapts to unseen scenarios without failing. Their customers include major technology companies like Amazon and NVIDIA, who integrate Skild's brain into their own hardware platforms.

With over $1.8 billion in funding from world-class investors including SoftBank, Sequoia Capital, NVIDIA, Bezos Expeditions, and Samsung, Skild AI has grown from a 12-person team to nearly 200 employees in under two years. The company also pursues strategic acquisitions — such as Fetch Robotics — to expand their hardware footprint and demonstrate the transformative power of their AI when deployed into existing platforms.

Skild AI fosters a fast-paced, high-ownership startup culture where team members work directly with founders and have outsized impact. The founding team emerged from CMU's robotics ecosystem, and the company values demonstrated ability and attitude over pedigree, welcoming individuals from new graduates to domain experts who are passionate about exploring uncharted territory in embodied AI.

Camera Systems Software Engineer

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