Perception Engineer

Mach Industries; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health Insurance

Retirement Plans

Professional Development

Job summary

Mach Industries, a defense tech company in San Francisco, is seeking a Perception Engineer to advance their AI-forward autonomy stack. You will design, train, and deploy state-of-the-art perception algorithms across vision, multi-sensor data, and embedded platforms for real-world deployment.

Work across deep learning, computer vision, and hardware integration to deliver robust, real-time inference on Jetson-class devices and field-tested datasets.

Qualifications

• Proven production experience with C++ on Linux and Python for ML tooling.
• Deep learning / computer vision model development ( Retina/FCOS/DETR/Mask2D/Video models ).
• Experience building large, diverse datasets and reproducible training pipelines.
• Hands-on with model compression (INT8/FP16) and real-time inference.

Responsibilities

• Design, train, and deploy vision and multi-sensor perception systems for autonomous platforms.
• Develop training/eval pipelines and regression testing loops.
• Optimize models for real-time embedded inference on Jetson-class hardware.

Skills

C++ on Linux

Python for ML

CUDA backends

PyTorch

Model training/finetuning

Education

BS/MS/PhD in CS/EE/Robotics or equivalent

Tools

CUDA

TensorRT

ONNX Runtime

Job description

Founded in 2022, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition.

Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security.

The Role

Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing are unavailable or unreliable. As a Perception Engineer, you will design, train, and deploy state-of-the-art vision and multi-sensor perception systems that enable navigation, targeting, and automatic target recognition on our product lines. You’ll work across deep learning, computer vision, and embedded systems to bring research-grade algorithms to real-world deployments.

Key Responsibilities

• Build and refine detection/segmentation/tracking architectures (CNN/Transformer) for EO/IR and multi-spectral imagery; drive foundation-scale datasets, training recipes, and robust generalization to long-tail and degraded conditions.
• Stand up training/eval pipelines (PR/ROC, mAP, latency, robustness suites); implement continuous regression testing and model-update loops from field data.
• Optimize models for real-time embedded inference (quantization/pruning, TensorRT/ONNX Runtime), profile CPU/GPU, and meet tight throughput/latency targets on Jetson-class hardware.
• Combine vision outputs with auxiliary sensing (e.g., radar/LiDAR/RF cues) for confirm/deny, association, and track management using decision-level fusion.
• Create visualization, triage, and root-cause tools for rapid insight from simulation, HITL, and flight logs; define end-to-end test plans with hardware and flight teams.
• Instrument health metrics, drift detection, and graceful degradation; write clear tests and documentation mapped to performance requirements.
• Perform simulation-based testing with high-fidelity sensor models and validate algorithms using real-world datasets.

Required Qualifications

• Production C++ on Linux and Python for ML/tooling; profiling, optimization, and rigorous testing discipline. Experience diving into CUDA backends for performance optimization and debugging.
• Strong with modern detection/segmentation/tracking (e.g., Retina/FCOS/DETR/Mask2D/Video models) and training/fine-tuning in PyTorch.
• Proven experience building large, diverse datasets; labeling/QA pipelines; augmentation; experiment tracking; and reproducible training.
• Hands-on with model compression (INT8/FP16), runtime optimization, and real-time constraints.
• EO/IR imagery experience and working with real flight/test data in challenging environments.
• 7+ years of experience with either a BS/MS/PhD in CS/EE/Robotics or similar, or equivalent experience; track record shipping ML models to production.

Preferred Qualifications

• Multi-modal perception experience (EO/IR + radar/LiDAR/RF) at the decision or feature level.
• Robustness and safety: adversarial/rare-event testing, long-horizon reliability metrics, dataset shift/drift monitoring.
• Physics-aware imaging: radiometric correction, NUC/FFC, atmospheric effects modeling; synthetic data/simulation for coverage.
• MLOps and data infra: SQL/Parquet, dataset/versioning tools, CI-based validation; scalable training on multi-GPU.

Disclosures

This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach’s total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development.

Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. Mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mand