Forward Deployed Software Engineer
Posted 4 days ago
The role in short
Deploy, operate, and debug autonomous ground-vehicle software systems in real-world field environments while collaborating with end users and engineering teams.
About Overland AI
Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
Role Summary:
We are looking for a field-forward, Software Engineer to deploy, operate, sustain, and iterate on autonomous ground-vehicle software systems in real operational environments. This role is ideal for someone who thrives at the intersection of software development and field operations, is comfortable debugging systems live on vehicles, and enjoys working directly with end users to deliver mission-ready autonomy.
This is not a desk-only role. You will spend significant time deployed at test sites, customer locations, and operational events, working hands-on with autonomous systems, diagnosing software and system-level issues, and ensuring platforms perform reliably in challenging, real-world conditions.
What You'll Do
Deploy and Field-Test Systems:
Deploy, configure, and evaluate autonomy software on uncrewed ground vehicles in real-world environments. When not traveling, you will support system integration, simulation, and field testing between our Seattle and Central Washington State locations.
Sustain and Troubleshoot:
Debug and resolve software, autonomy, networking, and system-integration issues during deployments, often under time pressure and in resource-constrained environments. Work directly on vehicles alongside hardware engineers to diagnose failures and implement practical fixes to keep systems operational.
Develop and Iterate:
Contribute to autonomy, perception, and system-level software development. Incorporate feedback from field operations and end users to rapidly improve reliability, performance, and usability.
Collaborate Across Teams:
Partner closely with hardware engineers, autonomy engineers, product, and program managers to ensure seamless deployment and alignment with mission and end-user needs.
Document and Analyze:
Maintain clear documentation of field performance, bugs, and lessons learned. Provide actionable recommendations to improve software robustness and operational readiness.
Train and Support Users:
Act as an on-site technical expert, training operators and users on system behavior, limitations, and troubleshooting. Support operational readiness before and during deployments.
Minimum Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or 5–8 years of equivalent professional experience.
- Ability to obtain and maintain a U.S. DoD security clearance.
Desired Experience & Qualifications:
- Strong software engineering fundamentals with experience deploying systems beyond the lab.
- Proficiency in Python and/or C++.
- Experience working in Linux-based environments, including debugging software in the field.
- Familiarity with robotics and autonomous systems (e.g., ROS, autonomy stacks, distributed systems).
- Experience integrating software with real-world hardware systems (sensors, compute, networking).
- Understanding of autonomous system sensors such as LiDAR and cameras.
- Comfort debugging complex, system-level issues involving software, hardware, and networking.
- Ability to operate independently in challenging environments, including adverse weather and remote locations.
- Thrive in dynamic, cross-functional teams and small startup environments.
- Experience deploying software in defense technology, deep tech, robotics, or startup environments.
- Prior experience supporting software during live demos, tests, or operational events.
- Willingness to co-locate at testing sites or military installations for extended periods, both CONUS and OCONUS.
Location:
This can sit out of Seattle, WA or San Francisco, CA When not traveling, you will be based out of our Seattle or San Francisco headquarters. Frequent, extended travel is expected (>50%), including time at test sites, customer locations, and operational events, both CONUS and OCONUS.
Compensation and Benefits
Pay Range: $140,000 - $180,000 annually
Actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Overland AI believes in creating a work environment that you look forward to embracing every day.
Benefits include:
- Equity compensation
- Best-in-class healthcare, dental and vision plans
- FlexiblePTO
- 401k with company match
- Parental leave
Overland AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law.
This position may involve access to export-controlled technology. Employment is contingent on the ability to comply with U.S. export control laws.
Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. Please contact peopleops@overland.ai to request an accommodation.
Prep for this interview
3 questions likely to come up at Overland AI, each matched to a line in this posting.
- 1Cloud, deployment and security
They wrote: “Ability to obtain and maintain a U.S. DoD security clearance.”
The customer's security team sends a 200-question review. How do you handle it?
How to answer
Why they ask: Security reviews often block deals. FDEs help get through them.
- Start from your company's standard answers (SOC 2 report, past reviews)
- Answer clearly; don't oversell
- Bring in your security team for anything you're unsure of
- Keep the new answers for the next customer
Tip: Reuse past answers, flag honest gaps, and offer a call for the hard questions.
- 2Coding
They wrote: “Strong software engineering fundamentals with experience deploying systems beyond the lab.”
Build a small in-memory cache. Then add expiry. Then a size limit.
How to answer
Why they ask: Staged exercises show how your code holds up when requirements change mid-interview, like at a customer.
- Start with get and set on a dictionary, plus tests
- Store an expiry time with each value and check it on read
- Track use order and evict the least recently used entry when full
- Say what you'd change for many threads or many machines
Tip: Keep the first version simple and well tested so the next stage is a small change.
- 3Ownership and working with customers
They wrote: “Contribute to autonomy, perception, and system-level software development. Incorporate feedback from field operations and end users to rapidly improve reliability, performance, and usability.”
Tell me about a project where the requirements kept changing. What did you do?
How to answer
Why they ask: Ambiguity is the norm. They want proof you can keep moving without a clear spec.
- The project and why requirements kept moving
- What you did to pin them down (short demos, written decisions)
- The trade-offs you made to keep shipping
- The result, with a number if you have one
Tip: Show how you reduced the change, beyond how you coped with it.
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