Perception Engineer at Mach Industries

Huntington Beach, California, United States

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$200,000 – $300,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

DefenseIndustries

Requirements

Production C++ on Linux and Python for ML/tooling; profiling, optimization, and rigorous testing discipline
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
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

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

Skills

CNN

Transformer

TensorRT

ONNX Runtime

Jetson

quantization

pruning

LiDAR

Radar

EO/IR

multi-spectral imagery

computer vision

deep learning

embedded inference

Mach Industries

About Mach Industries

Austin, TexasHeadquarters

2022Year Founded

$82.4MTotal Funding

SERIES_ACompany Stage

Industrial & Manufacturing, DefenseIndustries

51-200Employees

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Holidays

Relocation Assistance

Professional Development Budget

Meal Benefits

Risks

Competition from established companies like Anduril could overshadow Mach Industries' growth.

High valuation expectations may pressure Mach Industries to deliver results quickly.

Technical challenges with hydrogen-powered tech could hinder military adoption.

Differentiation

Mach Industries focuses on hydrogen-powered defense technologies, a novel approach in military tech.

The company aims to revolutionize defense procurement with agile, iterative development processes.

Mach Industries' field-sourced hydrogen offers a strategic advantage by reducing logistical burdens.

Upsides

Mach Industries secured $79M in Series A funding, indicating strong investor confidence.

The involvement of top-tier investors like Bedrock Capital highlights the company's market attractiveness.

Silicon Valley's interest in defense tech suggests a favorable environment for Mach Industries.

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