Required : • Stellar software ability: Modern C++ on Linux; Python for tooling/analysis; strong ... NVIDIA Jetson pipelines. • Exposure to ROS 2, PX4/ArduPilot integration • Strong data practices ...
Required : • Stellar software ability: Modern C++ on Linux; Python for tooling/analysis; strong ... NVIDIA Jetson pipelines. • Exposure to ROS 2, PX4/ArduPilot integration • Strong data practices ...
Software Engineer Px4 information
See San Ramon, CA salary details
$71K - $85.4K
2% of jobs
$85.4K - $99.8K
4% of jobs
$99.8K - $114.2K
6% of jobs
$114.2K - $128.7K
8% of jobs
$136.4K is the 25th percentile. Wages below this are outliers.
$128.7K - $143.1K
7% of jobs
$143.1K - $157.5K
18% of jobs
The median wage is $160.9K / yr.
$157.5K - $171.9K
16% of jobs
$171.9K - $186.4K
2% of jobs
$192.3K is the 75th percentile. Wages above this are outliers.
$186.4K - $200.8K
26% of jobs
$200.8K - $215.2K
1% of jobs
$215.2K - $229.6K
8% of jobs
$71K
$164.9K
$229.6K
How much do software engineer px4 jobs pay per year?
As of Jun 15, 2026, the average yearly pay for software engineer px4 in San Ramon, CA is $164,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,100.00 and $193,300.00 per year, depending on experience, location, and employer.
What are Software Engineer Px4?
A Software Engineer Px4 is a professional who develops, maintains, and optimizes software for the PX4 autopilot platform, which is widely used in drones and unmanned aerial vehicles (UAVs). These engineers work with open-source flight control software, ensuring reliable performance, integrating new features, and troubleshooting issues related to flight operations. They often collaborate with hardware engineers, robotics teams, and other developers to create innovative solutions for aerial robotics applications.
What are some typical challenges Software Engineers face when working with PX4 flight control software?
Software Engineers working with PX4 frequently encounter challenges related to integrating new hardware, ensuring real-time performance, and debugging issues in complex flight environments. The open-source nature of PX4 means you may need to collaborate with a diverse, global community and stay updated on rapid changes in upstream code. Additionally, ensuring compatibility across various UAV platforms and maintaining robust safety standards are ongoing responsibilities. Successful engineers are proactive in testing, documentation, and leveraging support from both internal teams and the broader PX4 community.
What are the key skills and qualifications needed to thrive as a Software Engineer PX4, and why are they important?
To thrive as a Software Engineer PX4, you need a strong background in computer science, C/C++ programming, and embedded systems, often supported by a relevant degree or equivalent experience. Familiarity with PX4 autopilot firmware, Linux, Git, and possibly ROS or UAV hardware integration is typically required. Problem-solving, attention to detail, and effective collaboration are standout soft skills in this role. These skills and tools are crucial for developing reliable, safe, and high-performance flight control systems in drone and robotics applications.
What is the difference between Software Engineer Px4 vs Software Engineer Drone?
| Aspect | Software Engineer Px4 | Software Engineer Drone |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science or related field; experience with PX4 autopilot | Bachelor's in Engineering or Computer Science; experience with drone software |
| Work Environment | Embedded systems, robotics, UAV development | Unmanned aerial vehicle (UAV) development, hardware integration |
| Employer & Industry | Drone manufacturers, aerospace, robotics companies | Drone startups, aerospace firms, research institutions |
| Common Search/Comparison | Yes | Yes |
Software Engineer Px4 specializes in developing and maintaining the PX4 autopilot software used in drones, focusing on embedded systems and robotics. In contrast, Software Engineer Drone may work on broader drone software applications, including hardware integration and flight control systems. Both roles require similar technical skills and are common in the aerospace and robotics industries, but Px4 engineers focus specifically on the PX4 platform.
What job categories do people searching Software Engineer Px4 jobs in San Ramon, CA look for? The top searched job categories for Software Engineer Px4 jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Software Engineer Px4 jobs? Cities near San Ramon, CA with the most Software Engineer Px4 job openings:
Full-time
Posted 4 days ago
Job description
Job Summary:
Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. The role involves designing and implementing state-of-the-art estimation and sensor-fusion algorithms for robust navigation across product lines.
Responsibilities:
• Prototype and productionize vision navigation and targeting features end-to-end from sim to HITL to flight with production C++.
• Turn detections (EO/IR/RF/radar) into well-posed measurement models with latencies/covariances; make the estimator decision‑aware without corrupting state.
• Stabilize GNSS to VIO handover (adaptive covariances, gating, hysteresis, reset‑less alignment) to eliminate jumps and estimator resets.
• Build and optimize real-time software on Linux/embedded; profile CPU/GPU, vectorize hot paths; optional CUDA/TensorRT on Jetson hardware.
• Own calibration and time-sync across IMU/cameras/radar/LiDAR/GNSS; validate in flight.
• Create evaluation pipelines and dashboards for drift, handover stability, relocalization, track quality
• Implement fault detection and graceful degradation for harsh conditions (blur, low‑light, vibration, RF denial).
• Integrate global aids (maps, magnetics, radar) for long‑term consistency and loop‑closure robustness.
Qualifications:
Required:
• Stellar software ability: Modern C++ on Linux; Python for tooling/analysis; strong debugging, profiling, testing discipline.
• SLAM/state estimation: Error-state EKF/UKF, factor graphs, nonlinear least-squares (Ceres/GTSAM), observability and covariance tuning.
• Vision experience VIO/SLAM, camera models, optical flow/feature tracking; comfort with deep learning for detection/seg/pose (PyTorch) and on-edge deployment.
• Sensor integration: IMU strapdown and biases, GNSS/RTK; multi-camera, LiDAR, radar, magnetometer, barometer.
• Ship and fly: Proven research-to-production delivery and field testing on real platforms.
• 5 years of experience with either a BS/MS/PhD in Computer Science, Robotics, Electrical/Aerospace Engineering, or related field, or equivalent practical experience.
Preferred:
• Experience with CUDA/TensorRT/ONNX Runtime; NVIDIA Jetson pipelines.
• Exposure to ROS 2, PX4/ArduPilot integration
• Strong data practices: data validation in CI, SQL/Parquet, reproducible datasets.
• Experience in contested/denied RF, low-light/night, high-vibration environments.
• Rust for systems tooling; Docker for reproducibility.
Company:
Mach Industries is a defense manufacturing company that develops unmanned systems and defense infrastructure. Founded in 2023, the company is headquartered in Huntington Beach, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. The role involves designing and implementing state-of-the-art estimation and sensor-fusion algorithms for robust navigation across product lines.
Responsibilities:
• Prototype and productionize vision navigation and targeting features end-to-end from sim to HITL to flight with production C++.
• Turn detections (EO/IR/RF/radar) into well-posed measurement models with latencies/covariances; make the estimator decision‑aware without corrupting state.
• Stabilize GNSS to VIO handover (adaptive covariances, gating, hysteresis, reset‑less alignment) to eliminate jumps and estimator resets.
• Build and optimize real-time software on Linux/embedded; profile CPU/GPU, vectorize hot paths; optional CUDA/TensorRT on Jetson hardware.
• Own calibration and time-sync across IMU/cameras/radar/LiDAR/GNSS; validate in flight.
• Create evaluation pipelines and dashboards for drift, handover stability, relocalization, track quality
• Implement fault detection and graceful degradation for harsh conditions (blur, low‑light, vibration, RF denial).
• Integrate global aids (maps, magnetics, radar) for long‑term consistency and loop‑closure robustness.
Qualifications:
Required:
• Stellar software ability: Modern C++ on Linux; Python for tooling/analysis; strong debugging, profiling, testing discipline.
• SLAM/state estimation: Error-state EKF/UKF, factor graphs, nonlinear least-squares (Ceres/GTSAM), observability and covariance tuning.
• Vision experience VIO/SLAM, camera models, optical flow/feature tracking; comfort with deep learning for detection/seg/pose (PyTorch) and on-edge deployment.
• Sensor integration: IMU strapdown and biases, GNSS/RTK; multi-camera, LiDAR, radar, magnetometer, barometer.
• Ship and fly: Proven research-to-production delivery and field testing on real platforms.
• 5 years of experience with either a BS/MS/PhD in Computer Science, Robotics, Electrical/Aerospace Engineering, or related field, or equivalent practical experience.
Preferred:
• Experience with CUDA/TensorRT/ONNX Runtime; NVIDIA Jetson pipelines.
• Exposure to ROS 2, PX4/ArduPilot integration
• Strong data practices: data validation in CI, SQL/Parquet, reproducible datasets.
• Experience in contested/denied RF, low-light/night, high-vibration environments.
• Rust for systems tooling; Docker for reproducibility.
Company:
Mach Industries is a defense manufacturing company that develops unmanned systems and defense infrastructure. Founded in 2023, the company is headquartered in Huntington Beach, USA, with a team of 51-200 employees. The company is currently Growth Stage.