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Perception Engineer

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Mach Industries

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Location:
United States , Huntington Beach, San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

200000.00 - 300000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • Offers Equity
  • healthcare, dental and vision plans
  • retirement savings
  • paid time off
  • funds for continuing education, training, and career growth

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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