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About the Role

Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing is unavailable or unreliable. As a member of our team, you will design and implement state-of-the-art estimation and sensor-fusion algorithms that power robust navigation across all of our product lines. You will work at the intersection of perception, state estimation, and embedded systems to bring research-grade algorithms to rugged, real-world deployments.

Responsibilities

Prototype and productionize vision navigation and targeting features end-to-end from sim to HITL to flight with production C++.
Turn detections (EO/IR/RF/radar) into well-posed measurement models with latencies/covariances; make the estimator decision‑aware without corrupting state.
Stabilize GNSS to VIO handover (adaptive covariances, gating, hysteresis, reset‑less alignment) to eliminate jumps and estimator resets.
Build and optimize real-time software on Linux/embedded; profile CPU/GPU, vectorize hot paths; optional CUDA/TensorRT on Jetson hardware.
Own calibration and time-sync across IMU/cameras/radar/LiDAR/GNSS; validate in flight.
Create evaluation pipelines and dashboards for drift, handover stability, relocalization, track quality.
Implement fault detection and graceful degradation for harsh conditions (blur, low‑light, vibration, RF denial).
Integrate global aids (maps, magnetics, radar) for long‑term consistency and loop‑closure robustness.

Requirements

Stellar software ability: Modern C++ on Linux; Python for tooling/analysis; strong debugging, profiling, testing discipline.
SLAM/state estimation: Error-state EKF/UKF, factor graphs, nonlinear least-squares (Ceres/GTSAM), observability and covariance tuning.
Vision experience VIO/SLAM, camera models, optical flow/feature tracking; comfort with deep learning for detection/seg/pose (PyTorch) and on-edge deployment.
Sensor integration: IMU strapdown and biases, GNSS/RTK; multi-camera, LiDAR, radar, magnetometer, barometer.
Ship and fly: Proven research-to-production delivery and field testing on real platforms.
5 years of experience with either a BS/MS/PhD in Computer Science, Robotics, Electrical/Aerospace Engineering, or related field, or equivalent practical experience.
Experience with CUDA/TensorRT/ONNX Runtime; NVIDIA Jetson pipelines.
Exposure to ROS 2, PX4/ArduPilot integration.
Strong data practices: data validation in CI, SQL/Parquet, reproducible datasets.
Experience in contested/denied RF, low-light/night, high-vibration environments.
Rust for systems tooling; Docker for reproducibility.
To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.
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).
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.

Skills

C++
Python
SLAM
State Estimation
EKF/UKF
Factor Graphs
Nonlinear Least-Squares
Ceres
GTSAM
Covariance Tuning
VIO
Camera Models
Optical Flow
Feature Tracking
Deep Learning
PyTorch
IMU
GNSS/RTK
LiDAR
Radar
Magnetometer
Barometer
CUDA
TensorRT
ONNX Runtime
ROS 2
PX4/ArduPilot
SQL
Parquet
Rust
Docker

Location

Remote
Onsite

Work Type

Full-time

Experience Level

5 years of experience
Senior Engineer

Education Level

BS/MS/PhD in Computer Science, Robotics, Electrical/Aerospace Engineering, or related field, or equivalent practical experience.

Salary/Compensations

$125,000—$160,000 USD
$165,000—$220,000 USD

Benefits

Healthcare
Dental
Vision plans
Retirement savings
Paid time off
Continuing education
Training
Career growth
Highly competitive equity grants

About the Company

Founded in 2023, 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.

Equal Opportunity

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.
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.