Current openings at Overland AI's Posts (286)

2026-01-12 Current openings at Overland AI

Quality Manager

About Overland AI: Founded in 2022 and headquartered in Seattle, Washington,Overland AIis 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 $42M in funding, including a Series A led by 8VC, 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 seeking a highly skilled and dedicated Quality Manager to oversee and ensure the highest standards of product quality at our autonomous vehicle manufacturing facility. The ideal candidate will be responsible for creating and leading the quality management system (QMS), ensuring the effectiveness of quality controls, and driving continuous improvement initiatives. The role involves collaborating with cross-functional teams to maintain product integrity, safety, and performance, all while meeting regulatory standards and customer expectations. This is an exciting opportunity to be at the forefront of innovation within the unmanned ground vehicle (UGV) industry, where precision, reliability, and quality are paramount. Key Responsibilities: Education & Experience: Skills: Certifications: Physical Demands & Work Environment: Location:Rainier Beach, Seattle Benefits: Overland AI believes in creating a work environment that you look forward to embracing every day. - Develop, implement, and continuously improve the Quality Management System to align with ISO 9001 and automotive industry standards (e.g., IATF 16949, VDA 6.3). - Lead the internal audit process to evaluate the effectiveness of QMS and ensure compliance with industry regulations and company policies. - Monitor and report on quality metrics, ensuring they align with customer requirements, industry standards, and company objectives. - Oversee and ensure the consistent application of quality standards across all production processes, from raw materials through to finished autonomous vehicle systems. - Work closely with the engineering and manufacturing teams to develop, implement, and maintain process control plans, ensuring that all processes meet specified quality standards. - Define and enforce product specifications for key components of UGVs, ensuring every product adheres to performance, safety, and regulatory requirements. - Establish and maintain effective supplier quality management practices, including supplier audits, selection, evaluation, and continuous improvement programs. - Collaborate with the purchasing department to ensure quality standards are communicated and upheld in the supply chain. - Conduct regular supplier performance reviews and implement corrective actions to resolve any quality-related issues. - Investigate and resolve non-conformance issues related to both materials and finished goods. - Lead root cause analysis and corrective action processes for any identified quality issues, working cross-functionally to implement solutions. - Drive a culture of accountability and continuous improvement by ensuring timely and effective resolution of quality concerns. - Partner with engineering, production, and R&D teams to ensure product designs meet quality requirements and are manufacturable at scale. - Provide training and guidance on quality best practices to all production and engineering teams. - Participate in regular design reviews and risk assessments to ensure that potential quality concerns are identified and mitigated early in the development process. - Ensure compliance with all relevant industry and governmental regulations, as well as international quality requirements. - Monitor and interpret changes in industry regulations and proactively ensure that the manufacturing process and product development remain compliant. - Maintain and provide documentation for quality certifications, audits, and inspections as required by customers and regulatory bodies. - Be a leader of the Quality Assurance team, fostering a culture of continuous improvement, accountability, and high performance. - Set clear objectives and targets for the quality team, ensuring alignment with overall company goals and strategy - Bachelor’s degree in Engineering, Quality Management, Manufacturing, or related field (Master’s degree preferred). - Minimum of 5 years of experience in quality management or quality assurance, ideally in the automotive, aerospace or other vehicle manufacturing industry. - Proven track record of managing quality teams and implementing effective QMS in a manufacturing environment. - In-depth knowledge of quality management tools (e.g., Six Sigma, FMEA, SPC, Control Plans) and industry-specific standards (e.g., ISO 9001, IATF 16949). - Strong analytical skills and problem-solving abilities, particularly in identifying and resolving root causes of quality issues. - Excellent leadership, communication, and interpersonal skills. - Ability to manage multiple projects and priorities effectively in a fast-paced, dynamic environment. - Familiarity with autonomous vehicle technologies and manufacturing processes (e.g., sensors, AI systems, vehicle components). - Proficiency in quality management software and data analysis tools. - Six Sigma Green Belt or Black Belt certification preferred. - ASQ Certified Quality Manager (CQM) or similar certifications preferred. - ISO 9001 Lead Auditor certification a plus. - Ability to work in a manufacturing environment with occasional exposure to noise, heat, and machinery. - Frequent use of computers, including entering and analyzing data. - Some travel may be required for supplier visits, audits, and industry conferences. - Ability to obtain and maintain a DoD Security Clearance. - The salary range for this position is$100K to $160K annually - Equity compensation - Best-in-class healthcare, dental, and vision plans - Unlimited PTO - 401k with company match - Parental leave

Location: Seattle, WA

Salary range: None - None

2026-01-12 Current openings at Overland AI

Recruiter

About Overland AI Founded in 2022 and headquartered in Seattle, Washington,Overland AIis 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 AIhas secured funding from prominent defense tech investors including 8VC and Point 72, andbuilt 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 As Overland AI’s first in house recruiter, you’ll have the opportunity to shape the future of a company that’s redefining what’s possible in autonomous systems. You’ll strengthen and scale our recruiting function and lead hiring across all teams, with a focus on bringing in exceptional technical talent. This is a great role for someone who is motivated by purpose and wants to be part of building something that truly matters. You’ll manage full cycle recruiting across engineering, operations, manufacturing, and business functions, partnering closely with HR and leadership to refine our processes and deliver a world class candidate experience. We’re looking for someone who is low ego, adaptable, and inspired by the opportunity to help grow a mission driven team building technology that makes a real impact. Key Responsibilities What You’ll Need to Succeed What Will Set You Apart Location The preferred location for this position is onsite inSeattle, WA. Compensation Annual Base Pay:$95,000 – $115,000 USD - Partner with hiring managers to define role requirements, craft compelling job descriptions, and develop effective recruiting strategies across all orgs. - Build and manage the full recruiting lifecycle, from sourcing and screening to offer, for roles spanning software, perception, robotics, systems, hardware, operations, and business. - Source active and passive candidates using creative, data-driven approaches across platforms such as LinkedIn Recruiter, Greenhouse, and technical communities. - Coordinate interviews, manage communication, and ensure a seamless and professional candidate experience end-to-end. - Manage relationships with external recruiting partners to supplement sourcing efforts, ensure alignment on hiring needs, and maintain a consistent candidate experience. - Maintain data accuracy and reporting within Greenhouse, while continuously improving recruiting operations, process efficiency, and candidate engagement. - Bachelor’s degree and 2+ years of full cycle recruiting experience, preferably in a high growth tech or defense tech environment - Proven ability to hire for both technical and cross functional roles, including engineering, operations, and business functions - Strong sourcing skills and experience building diverse pipelines for niche, hard to fill roles - Excellent organization, follow through, and communication skills — able to manage multiple searches while maintaining an outstanding candidate experience - A collaborative, low ego working style and the ability to partner effectively with hiring managers and leadership - Experience recruiting for robotics, autonomy, or advanced hardware/software engineering roles - Background supporting a startup or high growth environment where processes evolve quickly - Familiarity with Greenhouse or similar applicant tracking systems - Genuine interest in technology, defense, and mission driven work, and a passion for building great teams

Location: Seattle

Salary range: None - None

2026-01-12 Current openings at Overland AI

Systems Safety Engineer

About Overland AI Founded in 2022 and headquartered in Seattle, Washington,Overland AIis 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 AIhas secured funding from prominent defense tech investors including 8VC and Point 72, andbuilt 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 Overland AI is hiring Systems Safety Engineers to lead system safety engineering across our autonomous vehicles and programs. These roles sit within the Systems Engineering, Integration, and Test (SEIT) organization and partner closely with systems engineers, designers, and test teams to ensure safety is fully integrated into requirements, architecture, design, integration, and verification activities. As a Systems Safety Engineer, you will develop and execute system safety programs across the full lifecycle—from concept and requirements definition through architecture, integration, testing, and field operations. You will produce and maintain standard safety artifacts aligned with DoD and industry expectations, including MIL-STD-882E–based analyses, UL 4600, ATEC safety releases, and hazard tracking, while working cross-functionally with hardware, software, test, and operations teams. Safety Engineers collaborate closely with those building the system while maintaining independence in safety assessment. You will objectively evaluate hazards, risk controls, verification evidence, and operational suitability to support rigorous, defensible, and auditable safety determinations. This role emphasizes collaboration and alignment: safety analyses are developed alongside evolving system designs and remain tightly connected to system requirements, baselines, test plans, and operational concepts. As Overland AI scales and pursues multiple safety-certified deployments in parallel, these roles are critical to sustaining disciplined engineering execution and credible safety approvals. Key Responsibilities System Safety Engineering Hazard Tracking & Safety Case Development Test & Verification Integration Customer & Certification Support Process, Standards, & Scaling What You’ll Need to Succeed What Will Set You Apart Location The preferred location for this position is onsite inSeattle, WA. Compensation Annual Base Pay:$170,000 – $225,000 USD Benefits - Develop and maintain system safety analyses in accordance with MIL-STD-882E and applicable customer or regulatory guidance. - Perform PHAs, FHAs, SHAs, SSHAs, and O&SHAs as appropriate to system maturity, incorporating operational concepts, mission scenarios, and anticipated use cases to assess safety impacts and residual risk. - Apply standard system safety analysis techniques (e.g., hazard analysis, FMEA/FMECA, fault tree analysis, functional hazard assessment) as appropriate to system scope and maturity. - Define safety requirements and constraints and ensure they are correctly flowed into system and subsystem requirements. - Review system architectures, autonomy behaviors, software-controlled functions, integration approaches, and operational workflows to identify hazards and inform safety requirements and constraints. - Facilitate cross-functional safety discussions with system and technical leads to surface hazards, align on safety intent, and ensure safety considerations are consistently integrated into system decisions. - Provide independent technical assessment of system designs and proposed mitigations, offering objective safety insights that inform system requirements, architectural decisions, and operational procedures. - Analyze software-controlled and autonomy-driven behaviors as part of system hazard identification, ensuring software-based safety controls and constraints are captured, traced, and supported by verification evidence. - Maintain hazard tracking with clear traceability from hazards through mitigations, safety requirements, and verification activities. - Develop and maintain the system safety case, integrating hazard analyses, design controls, operational assumptions, and verification evidence into a coherent, defensible argument for safe operation. - Ensure software-based safety mitigations (e.g., autonomy behaviors, fault detection, failsafe logic) are explicitly captured within the safety case and supported by appropriate verification evidence. - Ensure the safety case evolves alongside system design, configuration changes, and operational refinement and is consistently integrated into system decisions. - Define safety-focused test objectives, acceptance criteria, and verification strategies aligned with system requirements and operational use cases. - Collaborate with Test & Evaluation teams to ensure safety-driven objectives are represented in test plans, procedures, and acceptance criteria. - Participate in lab, vehicle, and field test events to independently assess safety performance and mitigation effectiveness. - Review and evaluate verification evidence to confirm safety controls are effective, sufficient, and correctly implemented, and to support readiness and risk acceptance decisions. - Capture and organize verification evidence that supports safety assessments, readiness reviews, and release decisions. - Support readiness reviews, safety releases, and risk acceptance processes. - Prepare safety documentation and technical inputs required for ATEC-led evaluations, customer reviews, and non-DoD certification or approval efforts. - Support technical reviews and safety discussions with government and commercial stakeholders. - Clearly communicate safety rationale, risk posture, and supporting evidence to internal leadership and external reviewers. - Help translate technical safety work into clear, defensible narratives for external stakeholders. - Contribute to company safety processes, templates, and standards to support multiple concurrent programs. - Help establish consistent safety practices across prototypes, fielded systems, and future production platforms. - Mentor engineers and help raise overall system safety maturity within the organization. - Bachelor’s degree in Engineering or related technical discipline. - Experience performing system safety engineering for complex systems (autonomy, robotics, vehicles, aerospace, defense, or similar). - Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, UL4600, MIL-STD-883E, JSSSEH. - Experience developing and maintaining safety artifacts suitable for external review, esp. SAR - Ability to operate independently and exercise sound engineering judgment in risk assessment. - Comfort working in hands-on, fast-moving environments with real hardware and field testing. - Direct experience supporting ATEC, DoD test agencies, or similar certification authorities. - Direct experience in the design and development of autonomous vehicles or advanced ADAS applications - Experience with autonomous or semi-autonomous systems. - Experience supporting both developmental testing and operational/test readiness activities. - Experience with SysML modeling and Model-Based Systems Engineering (MBSE) tools (Cameo, Goal Structured Notation) - Experience with managing requirements (Jama, Doors) and issue tracking (JIRA) - Equity compensation - Best-in-class healthcare, dental, and vision plans - Unlimited PTO - 401(k) with company match - Parental leave

Location: Seattle

Salary range: None - None

2026-01-12 Current openings at Overland AI

Test Data Analyst

About Overland AI Founded in 2022 and headquartered in Seattle, Washington,Overland AIis 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 AIhas secured funding from prominent defense tech investors including 8VC and Point 72, andbuilt 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 Overland AI is hiring aTest Data Analystto develop and maintain a first-order, data-driven understanding of how our autonomous vehicles behave in real-world testing. This role sits within the Systems, Safety, and Test (SST) organization and partners closely with software, hardware, and test teams to turn daily field test outputs into reliable insight that improves autonomy performance, safety, and system maturity. This role is centered on deep, hands-on analysisof field test data. You will spend your time immersed in autonomy runs, synchronized logs, ROS MCAPs, sensor outputs, and recorded test video — building deep intuition for system behavior by repeatedly reviewing the same routes and scenarios over time. This sustained exposure and consistent analysis enables you to not only annotate and tag data but identify subtle patterns, regressions, and improvements that are not visible through metrics alone. You will be embedded in the test workflow, translating observed behavior into structured datasets, high-quality issue reports, and clear test summaries. Your work forms the factual record of system behavior that engineering, leadership, and customers rely on to assess readiness and risk in demanding defense environments. This role sits at the intersection of autonomy testing, data analysis, and systems thinking, with a strong emphasis on accuracy, traceability, and clarity over speed. Key Responsibilities Primary Responsibility: Field Test Data Review & Behavior Analysis Issue Identification, Trends & Root Cause Insight Test Reporting & Evidence Development Data Visibility & Communication What You’ll Need to Succeed What Will Set You Apart Location The preferred location for this position is onsite inSeattle, WA. Compensation Annual Base Pay:$95,000 – $120,000 USD Benefits - Perform deep review of autonomy field test data, including synchronized video, ROS MCAPs, telemetry, and sensor outputs - Build strong familiarity with system behavior by analyzing repeated routes and scenarios across changing software and hardware configurations - Annotate autonomy behavior, anomalies, and decision-making moments with precise timestamps and contextual notes - Identify subtle deviations, trends, and regressions that emerge through longitudinal analysis rather than single test runs - Identify, classify, and document hardware, software, and system-level behaviors observed during autonomy testing - Own the quality of issue reporting by producing, reviewing, and enriching bug reports with clear context, timestamps, and supporting evidence - Track and trend system behavior across repeated routes, environments, and software/hardware releases to identify regressions and improvements - Analyze recurring anomalies (e.g., odometry stability, localization consistency, planner decisions) using longitudinal test data - Perform structured analysis to identify contributing factors across autonomy software, vehicle systems, sensing, and operations - Support issue prioritization by providing data-backed context that distinguishes isolated events from systemic risk - Generate clear, structured test summaries that synthesize large volumes of data into conclusions and recommendations - Contribute traceable evidence to support hazard analysis, validation activities, and future certification efforts - Help define repeatable standards and formats for test reporting as the organization scales - Transform raw test data and analysis into visual, consumable artifacts for engineers, operators, and leadership - Create clear plots, summaries, timelines, and annotated media that communicate system behavior and test outcomes - Support shared understanding of system performance, risk, and maturity across technical and non-technical audiences - Support shared understanding of system performance, risk, and maturity across technical and non-technical audiences - Support shared understanding of system performance, risk, and maturity across technical and non-technical audiences - Bachelor’s degree in a technical field (Engineering, Computer Science, Applied Math, Physics, Data Science, or similar) or equivalent practical experience - 2–5 years of experience analyzing data from complex, real-world systems - Experience working with sensor-rich or operational data from domains such as autonomy, robotics, automotive, aerospace, defense, or similar environments - Comfort working with autonomy and robotics data artifacts, including logs, telemetry, ROS artifacts, and sensor outputs - Strong analytical skills and the discipline to methodically work through large volumes of real-world test data - Ability to reason about autonomous system behavior across perception, planning, control, and vehicle interfaces - High attention to detail with a bias toward accuracy, traceability, and completeness - Clear written communication skills for producing bug reports, analyses, and test summaries - Working proficiency with Python or similar tools for data analysis and lightweight automation - Comfort operating in fast-paced, field-forward development environments - Experience working directly with autonomous vehicle sensor data, including LiDAR, radar, and camera streams - Demonstrated ability to synthesize ambiguous or incomplete datasets into clear, defensible conclusions - Experience analyzing long-duration test data or reviewing extensive test video to identify subtle system behaviors - Familiarity with systems engineering concepts such as Operational Design Domains (ODDs), duty cycles, or performance requirements - Exposure to safety analysis, certification activities, or formal verification and validation workflows - Experience producing structured test reports or evidence packages for external or regulated stakeholders - Strong data visualization skills and the ability to communicate technical results clearly to both technical and non-technical audiences - Equity compensation - Best-in-class healthcare, dental, and vision plans - Unlimited PTO - 401(k) with company match - Parental leave

Location: Seattle

Salary range: None - None

2026-01-12 Current openings at Overland AI

Infrastructure Engineer

About Overland AI Location:Seattle, WA (Hybrid — 3 days onsite)Travel:Occasional in-state travel; 1–2 weeks out-of-state per year Founded in 2022 and headquartered in Seattle, Washington,Overland AIis 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 AIhas secured funding from prominent defense tech investors including 8VC and Point 72, andbuilt 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 Overland AI is looking for an experienced Infrastructure Engineer to help design, build, and operate the systems that power our AI model training, experiment management, and robotic deployments. This role spans on-premise environments, cloud infrastructure, networking, and automation. You’ll work hands-on with servers, storage, firewalls, wireless equipment, and high-performance compute resources—while also developing scalable tooling that improves reliability, observability, and developer velocity. The ideal candidate has 5+ years of experience in infrastructure engineering, DevOps, SRE, or systems engineering, with deep knowledge of on-prem environments, AWS deployments at scale, and modern infrastructure-as-code and automation practices. What You'll Do Required Qualifications Nice to Have Other Requirements Benefits - Build, operate, and evolve on-premise and cloud infrastructure supporting AI/ML development and robotics programs - Deploy and manage AWS environments including IAM, EC2, VPCs, and S3 - Install, configure, and troubleshoot physical servers, networking equipment, and storage systems - Implement and maintain infrastructure-as-code (Terraform, Ansible, Puppet, Chef, etc.) - Support on-prem Kubernetes clusters (clusteradm, Kops) and GitOps workflows (ArgoCD, Flux, Spinnaker) - Develop CI/CD pipelines using GitLab or GitHub Actions - Build custom automation and internal infrastructure tooling - Manage observability stacks (Prometheus/Grafana, ELK, Datadog, etc.) - Partner closely with engineering teams to ensure reliability, security, and efficient scaling - Document systems, processes, and runbooks to support local and remote teams - 5+ years in infrastructure engineering, DevOps, SRE, or systems engineering - Experience with AWS orchestration and deployments at scale - Experience with on-prem hardware environments (VMWare, Proxmox, or equivalent) - Hands-on experience building and troubleshooting physical servers and networks - Strong Linux administration skills - Deep understanding of networking: firewalls, L3 switches, routing, VPNs, WAN/wireless systems - Proficiency with infrastructure-as-code tooling (Terraform, Ansible, Puppet, Chef, etc.) - Experience with Kubernetes and GitOps systems - CI/CD experience with GitLab, GitHub Actions, or similar platforms - Ability to program in Python, Go, Rust, or a similar language (in addition to shell) - Experience with observability and monitoring stacks - Excellent documentation, communication, and collaboration skills - Familiarity with experiment tracking, ML infrastructure, or data visualization tooling - Experience integrating hardware or embedded systems - Experience deploying or supporting wireless/WAN infrastructure in field, test, or event environments - Familiarity with ML/AI infrastructure, high-performance compute clusters, or robotics-focused environments - Ability to travel in-state, including occasional long days during deployments or testing - Ability to travel out-of-state for ~1–2 weeks per year - Ability to work onsite in our Seattle office at least 3 days per week - Ability to obtain and maintain a DoD Security Clearance - Competitive salary: $130K – $225K annually - Equity compensation - Best-in-class healthcare, dental, and vision plans - Unlimited PTO - 401(k) with company match - Parental leave

Location: Seattle, WA

Salary range: None - None

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