About Mach Industries

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 220 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 GNSS and other sensing may be unavailable degraded or denied. As an Autonomy Software Engineer you will design build and deploy the software systems that power perception localization navigation planning and mission autonomy across our product lines.

This is a broad role for engineers who are deeply technical in one domain and highly effective across adjacent ones. You may come from estimation perception machine learning embedded systems or planning but you are excited to work across the autonomy stack and deliver real capability from prototype to fielded system.

Key Responsibilities

• Design implement and ship production autonomy software in modern C on Linux with Python for tooling analysis and ML workflows.

• Build and integrate capabilities across perception localization sensor fusion navigation planning and embedded inference.

• Take systems from prototype through simulation software-in-the-loop hardware-in-the-loop flight test and deployment.

• Analyze logs simulation results and test data to debug failures improve robustness and drive rapid iteration.

• Develop evaluation pipelines metrics and tooling for accuracy latency drift handoff stability and mission-level performance.

• Work closely with hardware sensing flight test and ML teams to integrate algorithms onto real platforms.

• Optimize software and models for real-time deployment on embedded compute under tight SWaP and latency constraints.

• Design systems for degraded operation fault detection graceful degradation and uncertainty-aware decision-making in contested environments.

Required Qualifications

• Bachelors Masters or PhD in Computer Science Robotics Aerospace Electrical Engineering Machine Learning or a related field or 3 years of equivalent practical experience as a software engineer.

• Strong software engineering skills in modern C on Linux and Python for tooling analysis or ML.

• Proven ability to take systems from research or prototype into reliable deployment on hardware.

• Deep technical strength in at least one core domain such as perception localization and state estimation navigation planning machine learning or embedded autonomy.

• Experience building and debugging real-world robotics autonomy or embedded software systems.

Preferred Qualifications

• Experience with state estimation SLAM VIO GNSS/INS fusion relocalization or multi-sensor fusion.

• Experience with perception systems for detection segmentation tracking pose estimation or classification in challenging real-world conditions.

• Experience training fine-tuning or deploying ML models for autonomy applications.

• Experience bringing up complex embedded systems across sensors compute vehicle interfaces and autonomy software on embedded Linux or RTOS platforms.

• Experience with motion planning mission autonomy or decision-making under uncertainty.

• Strong engineering judgment across system-level tradeoffs including latency accuracy robustness and operational reliability.

• High standards for validation through metrics simulation logs and field testing.

• Experience with simulation HITL synthetic data and sensor modeling.

• Experience in contested or degraded environments including RF denial GNSS degradation low-light or night operations or high-vibration platforms.

• Strong data and infrastructure practices including dataset versioning reproducible pipelines CI-based validation and evaluation tooling.

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 Machs 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. If youd like to defend the American way of life please reach out!

Required Experience:

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