Mach Industries
Perception Engineer
$125K–$220K
Huntington Beach, California, United States +3 · Full-time · Posted Sep 2, 2026
- Location
- Huntington Beach, California, United States
San Francisco, California, United States
Huntington Beach, California, United States
San Francisco, California, United States - Experience
- 7+ years.
- Education
- BS/MS/PhD in CS/EE/Robotics or similar, or equivalent experience.
- Visa sponsorship
- Applicants must be U.S. citizens or nationals, lawful permanent residents, refugees, asylees, or eligible to obtain required U.S. Department of State authorizations. Employment may be conditioned on authorization to receive export-controlled technology without sponsorship for an export license.
About the job
Build and deploy real-time vision and multi-sensor perception systems for autonomous platforms operating in contested environments.
What you'll do
- Develop and evaluate detection, segmentation, and tracking models; build datasets and training pipelines.
- Optimize perception models for embedded inference and fuse vision with auxiliary sensor cues.
- Test and validate systems using simulation and field data; build diagnostic tools and monitor model performance.
What they ask for
- Production C++ on Linux and Python; CUDA performance debugging and optimization.
- Experience with detection, segmentation, or tracking models and training or fine-tuning in PyTorch.
- Experience building diverse datasets and reproducible training pipelines; hands-on model compression and runtime optimization.
- EO/IR imagery and real flight/test data experience; track record shipping ML models to production.
Nice to have
- Multi-modal perception with EO/IR and radar, LiDAR, or RF; robustness, safety, and drift monitoring.
- Physics-aware imaging, synthetic data/simulation, or MLOps and scalable multi-GPU training.
Pay
$125,000 — $160,000 USD (base salary); $165,000 — $220,000 USD (base salary)
Tools
C++, Linux, Python, CUDA, PyTorch, TensorRT, ONNX Runtime, Jetson
AI focus
Develop, train, optimize, and deploy perception models for navigation, targeting, and automatic target recognition, including sensor fusion and robustness in degraded conditions.
Model-written summary · the original posting is authoritative