Skild AI

1 month ago

Camera Systems Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Hands-on, end-to-end camera systems engineer responsible for bringing up embedded camera sensors, developing low-latency camera pipelines, and building robust APIs for perception and autonomy on NVIDIA Tegra-based robotic platforms. You will collaborate with vendors, hardware partners, and cross-functional teams to define requirements, implement drivers, validate timing, and ensure production-ready camera stacks for real-time robotic systems.

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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.

Pay and Benefits

Salary: USD 100,000 - 300,000 annually

Key Requirements

•Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field.
•5+ years of hands-on experience with embedded camera systems, including sensor bring-up, camera module integration, driver-level debugging, and board-level validation.
•Strong proficiency in C/C++ for Linux or performance-sensitive systems, including multithreading, memory management, profiling, and low-latency software design.
•Experience with camera interfaces and supporting hardware, such as MIPI CSI-2, I2C, GMSL, FPD-Link, serializers/deserializers, power sequencing, reset sequencing, clocks, and sensor mode tables.
•Experience developing or modifying Linux camera drivers, device trees, V4L2 drivers, media controller graphs, or similar low-level camera integration components

Experience:5+ yearsEmbeddedCameraRoboticsReal-time

Education:Bachelor's

Skills:C++LinuxEmbeddedCameraDriver developmentReal-time

Languages:English

Tech Stack:C++LinuxMIPI CSI-2I2CGMSLFPD-LinkV4L2NVIDIA Tegra

Company Brief

Skild AI

Develops AI-driven solutions focused on applying machine learning to automate and enhance business workflows, delivering predictive insights and intelligent automation for enterprise use cases.

Industry: AI & Machine Learning

Website

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Skild AI

1 month ago

Camera Systems Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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.

Pay and Benefits

Salary: USD 100,000 - 300,000 annually

Key Requirements

•Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field.
•5+ years of hands-on experience with embedded camera systems, including sensor bring-up, camera module integration, driver-level debugging, and board-level validation.
•Strong proficiency in C/C++ for Linux or performance-sensitive systems, including multithreading, memory management, profiling, and low-latency software design.
•Experience with camera interfaces and supporting hardware, such as MIPI CSI-2, I2C, GMSL, FPD-Link, serializers/deserializers, power sequencing, reset sequencing, clocks, and sensor mode tables.
•Experience developing or modifying Linux camera drivers, device trees, V4L2 drivers, media controller graphs, or similar low-level camera integration components

Experience:5+ yearsEmbeddedCameraRoboticsReal-time

Education:Bachelor's

Skills:C++LinuxEmbeddedCameraDriver developmentReal-time

Languages:English

Tech Stack:C++LinuxMIPI CSI-2I2CGMSLFPD-LinkV4L2NVIDIA Tegra

Company Brief

Skild AI

Develops AI-driven solutions focused on applying machine learning to automate and enhance business workflows, delivering predictive insights and intelligent automation for enterprise use cases.

Industry: AI & Machine Learning

Website