Perception Engineer

Mach
San Francisco
Workplace: OnsiteFull timeUSD 125,000 - 220,000 annuallyFunction: Software EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Teamwork"]

Design, train, and deploy state-of-the-art vision and multi-sensor perception systems for autonomous defense platforms. Lead development across deep learning, computer vision, and embedded systems to enable navigation, targeting, and automatic target recognition. Build datasets, optimize real-time inference on Jetson-class hardware, and collaborate with field teams to validate models in challenging environments.

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Mach
Mach
4 months ago

Perception Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 days agoStatus: Closed

Job Summary

Design, train, and deploy state-of-the-art vision and multi-sensor perception systems for autonomous defense platforms. Lead development across deep learning, computer vision, and embedded systems to enable navigation, targeting, and automatic target recognition. Build datasets, optimize real-time inference on Jetson-class hardware, and collaborate with field teams to validate models in challenging environments.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

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.

Pay and Benefits

Salary: USD 125,000 - 220,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceRetirement

Key Requirements

  • •Production C++ on Linux with Python for ML tooling and experience optimizing CUDA backends for performance
  • •Strong experience with modern detection/segmentation/tracking models (e.g., Retina, FCOS, DETR, Mask2D) and fine-tuning in PyTorch
  • •Proven ability to build large, diverse datasets, labeling/QA pipelines, augmentation, and experiment tracking
  • •Hands-on with model compression (INT8/FP16), runtime optimization, and real-time constraints
  • •7+ years of experience in CS/EE/Robotics or similar, with track record shipping ML models to production
Experience:7+ yearsDefenseAutonomous systemsAIComputer visionRobotics
Education:Bachelor's
Skills:Problem-solvingCommunicationTeamwork
Languages:English
Tech Stack:C++LinuxPythonCUDATensorRTONNX RuntimePyTorchJetsonCNNTransformerRetinaFCOSDETRMask2DVideo modelsParquetSQL

Company Brief

Mach
Designs and manufactures unmanned systems, tactical engines, and decentralized defense manufacturing infrastructure (Forge) to scale production of autonomous aerial systems and related propulsion for U.S. defense customers and partners.
Industry: Defense Manufacturing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Valuation: USD 250M to 500M
Funding: Series B
Headquarters: Huntington Beach, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
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