Current openings at Overland AI's Posts (286)

Plant 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 dynamic, experienced, and results-driven Plant Manager to oversee the daily operations of our state-of-the-art unmanned ground vehicle (UGV) manufacturing facility. This role is critical to ensuring the production of high-quality, reliable autonomous vehicles while maintaining a focus on efficiency, safety, and continuous improvement. The Plant Manager will oversee all plant operations, drive operational excellence, and ensure the facility operates at the highest levels of productivity, safety, and quality. Reporting directly to the Chief Operating Officer (COO), this position requires a strong leader who can foster a collaborative work environment, streamline processes, and solve complex challenges in a fast-paced, high-tech manufacturing environment. Key Responsibilities: Education & Experience: Skills & Competencies: Personal Attributes: 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. - Lead and manage all aspects of day-to-day plant operations to meet production goals, quality standards, and safety regulations. - Develop and implement production plans, including scheduling, resource allocation, and workflow optimization to ensure efficient manufacturing of UGVs. - Monitor plant performance metrics (KPIs), identifying areas for improvement and implement corrective actions as needed. - Establish and maintain production targets, focusing on maximizing productivity while minimizing downtime and waste. - Directly supervise a team of supervisors, engineers, and production staff, ensuring they are well-trained, motivated, and capable of meeting operational objectives. - Foster a positive and productive work environment, leading by example and promoting a culture of accountability, teamwork, and respect. - Conduct regular performance evaluations, provide coaching, and identify opportunities for employee development and career growth. - Ensure proper staffing levels and work schedules to support production targets, while maintaining a strong focus on employee retention and engagement. - Champion a culture of safety and ensure the facility adheres to all safety regulations, OSHA standards, and internal safety protocols. - Proactively identify and address potential safety hazards, conducting regular safety audits and training to prevent accidents and injuries. - Ensure compliance with all environmental and regulatory requirements, working with the COO to address any necessary changes or improvements in these areas. - Oversee the implementation and enforcement of quality control standards, ensuring that all products meet the company’s stringent quality and performance expectations. - Work closely with the quality team to address any product defects or production issues that may arise, ensuring corrective actions are taken in a timely and effective manner. - Drive continuous improvement in production processes to maintain the highest standards of product quality and customer satisfaction. - Manage the plant’s budget, ensuring cost-effective operations and alignment with financial targets. - Collaborate with the COO to forecast resource needs, manage inventory, and control costs related to labor, materials, and equipment. - Work closely with the engineering team to ensure equipment is properly maintained, and downtime is minimized. - Drive continuous improvement initiatives by utilizing lean manufacturing principles, Six Sigma, or other methodologies to enhance plant efficiency and reduce operational waste. - Stay up-to-date with the latest manufacturing technologies, industry trends, and best practices to identify opportunities for innovation and process optimization. - Lead projects focused on upgrading plant capabilities, introducing new technologies, and scaling production as the company grows. - Collaborate with the product development, engineering, and supply chain teams to ensure production requirements are met and any challenges are resolved effectively. - Partner with the HR team to maintain a skilled, diverse workforce, manage labor relations, and address any personnel issues that may arise. - Communicate effectively with senior leadership, providing regular updates on plant performance, challenges, and opportunities. - Bachelor’s degree in Manufacturing, Engineering, Business Administration, or a related field. A Master’s degree is a plus. - A minimum of 7-10 years of progressive experience in manufacturing, with at least 3 years in a leadership or management role, preferably within an advanced manufacturing or automotive environment. - Experience in aerospace, autonomous vehicle manufacturing, robotics, or off-road vehicle production is highly preferred. - Strong knowledge of manufacturing processes, production planning, lean methodologies, and quality assurance practices. - Proven ability to lead and motivate a diverse team of employees, including supervisors, engineers, and production staff. - Strong problem-solving skills, with the ability to analyze complex situations and implement effective solutions. - Excellent communication and interpersonal skills, with the ability to collaborate across functions and engage with senior leadership. - In-depth understanding of safety standards, regulatory compliance, and environmental protocols in a manufacturing environment. - Highly organized, with the ability to manage multiple priorities in a fast-paced and dynamic environment. - Strong analytical skills and proficiency with data analysis tools, ERP systems, and production management software. - Strong leadership presence and ability to build trust with team members and senior leadership. - A results-driven mindset, with a focus on achieving operational goals and delivering high-quality outcomes. - A commitment to continuous improvement and fostering a culture of innovation and accountability. - Adaptable and flexible, with the ability to thrive in a rapidly changing environment. - Ability to obtain and maintain a DoD Security Clearance. - This role requires regular on-site presence in the manufacturing facility, which may include exposure to noise, machinery, and heavy equipment. - The Plant Manager will be expected to spend a significant amount of time on the factory floor and in the office, overseeing operations and interacting with team members. - Occasional travel may be required for supplier meetings, industry events, or corporate initiatives. - The salary range for this position is$120K to $180K 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

Infrastructure Software Engineer

InfrastructureSoftwareEngineerLocation:Seattle, WA (Hybrid: 3 days onsite)Travel:In-state travel + 1–2 weeks out-of-state per yearClearance:Ability to obtain andmaintaina DoD Security Clearance 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 building off-road autonomy, and our software infrastructure is the backbone that enables our teams to move fast, experiment safely, and ship mission-critical systems. As aSoftware Infrastructure Engineer, you’ll design, build, and maintain the internal software systems that power our AI/ML workflows, connect our robots, and streamline developer operations across the company. You will own core services used daily by researchers, roboticists, and field teams — including internal APIs, experiment tooling, data systems, and compute orchestration. This role is ideal for an engineer who loves building robust systems, improving developer velocity, and shaping the foundation that our autonomy stack relies on. You’ll collaborate closely with the infrastructure team, ML teams, and robotics teams to build reliable, observable, well-structured systems in a hybrid cloud/on-prem environment. What You'll Do Required Qualifications Nice to Have Additional Requirements Benefits - Design, build, and maintain internal services and tooling used across AI/ML, autonomy, and field operations teams - Develop both backend services and front-end interfaces (web apps, dashboards, APIs) that enable experimentation, data access, and compute management - Build and support microservices as well as monolithic systems, including migrating legacy systems to modern service-oriented architectures - Improve developer velocity and system reliability through better tooling, automation, observability, and CI/CD - Support hybrid deployments across AWS, on-prem compute, and on-robot environments - Troubleshoot across software, infrastructure, and networking layers to keep internal systems reliable and performant - Collaborate with ML engineers, roboticists, and internal stakeholders to define requirements and deliver high-impact tooling - Maintain excellent documentation and support distributed teams (local + remote + field) - 5+ years of experience in software engineering, infrastructure tooling, or full-stack development - Proficiency with modern web frameworks and the ability to build both backend and front-end systems - Experience building and maintaining both microservices and monolithic applications - Strong working knowledge of AWS, Linux systems, and networking fundamentals - Proficiency with containerized environments (Docker) and CI/CD (GitLab, GitHub Actions, or equivalent) - Experience with infrastructure-as-code (Terraform, Ansible, etc.) - Demonstrated ability to support multiple internal or customer-facing applications simultaneously - Excellent troubleshooting skills across software, networking, and infrastructure layers - Strong communication and documentation skills - Experience with Kubernetes or GitOps tools (ArgoCD, Flux, Spinnaker) - Familiarity with ML infrastructure, experiment tracking, or data visualization tools - Experience with hardware integration or embedded system interfaces - Prior experience supporting hybrid or on-prem deployments - Experience migrating a monolith to a microservices-based architecture - Ability to travel in-state for testing, events, and onsite support - Ability to travel out-of-state 1–2 weeks per year for demos or field exercises - Ability to work onsite in the Seattle office at least 3 days per week - Ability to obtain and maintain a DoD Security Clearance - Competitive salary: $130K – $170K 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

Software Engineer, Machine Learning (All levels)

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 $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. We are looking for machine learning experts to join our team to advance the state of off-road autonomy. Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered. - Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python). - Identify, implement, and respond to meaningful metrics that affect vehicle behavior. - Serve as a technical expert for the team balancing short-term deliverables and long-term directions. - Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system. - MS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR equivalent years of industry experience in an applied research setting working on multi-year problems. - Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc. - Excellent linear algebra, probability theory, and optimization knowledge. - Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, etc. - You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines. - Ability to obtain and maintain a DOD Security Clearance. - Knowledgeable in any related technologies such as C++, CUDA, ROS, etc. - The salary range for this position is $120K to $300K annually - Equity compensation - Best-in-class healthcare, dental and vision plans. - Unlimited PTO - 401k with company match - Parental leave

Location: Seattle, WA / Remote

Salary range: None - None

Software Engineer, Autonomy Integration and Deployment

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. We are looking for robotics experts to bring off-road autonomy in challenging terrain to a growing fleet of ground vehicles. - Deploy autonomy in the real world: Integrate the OverDrive autonomy stack onto hardware platforms for delivery to customers. - Contribute to the autonomy stack: Identify gaps in performance, propose solutions, and implement in collaboration with other teams. - Design and develop tools to efficiently deploy the OverDrive autonomy stack onto a suite of robotic vehicles. - Lead field test campaigns to evaluate and/or demonstrate the OverDrive autonomy stack on real platforms in challenging off-road terrain. - Think broadly about overall system performance and interactions between various components present in an autonomous vehicle. - Collaborate throughout Overland: Bridge the gap between business development and core R&D teams to deliver effective autonomy to customers. - Strong technical background:Bachelors, M.S.,or Ph.D. in computer science, robotics, or related field. - Experience working with robotics systems including familiarity with ROS and/or ROS 2. - Experience developing with C++ and Python in a Linux environment - Analytical thinking and scientific mindset: The ability to rapidly troubleshoot issues, design and carry out diagnostic experiments, and thoughtfully interpret experimental results - Field-test forward:You are passionate about building systems that work in the real world: despite rain, snow, and mud. - Ability to obtain and maintain a DOD Security Clearance. - Ability to relocate to Seattle, WA. - Extensive experience with ROS 2. - Experience deploying containerized software - Experience summarizing and presenting technical material to a nontechnical audience. - The salary range for this position is $140K to $300K 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

Software Engineer, Perception (All levels)

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 $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. We are looking for perception experts to join our team to advance the state of off-road autonomy. Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered. - Design, prototype, and deploy perception/deep learning algorithms (e.g., object detection and tracking, surface reconstruction, visual odometry) that run real-time on our autonomous vehicles. - Identify, implement, and respond to meaningful metrics that affect vehicle behavior. - Support experimentation and integration of the perception stack with new sensors and configurations (C++). - Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system. - BS/MS/PhD in Computer Science or similar and 2+ years of experience (industry or academia) implementing perception algorithmsPreferred: top-tier publications in CV and Robotics conferences and/or past experience working with lidars and cameras - Preferred: top-tier publications in CV and Robotics conferences and/or past experience working with lidars and cameras - Expert in ROS 2 or other similar robotics middleware. - Strong programming (C++ or Python) skills and experience in a deep learning framework such as Pytorch, JAX, Tensorflow, etc. - You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines. - Ability to obtain and maintain a DOD Security Clearance. - Preferred: top-tier publications in CV and Robotics conferences and/or past experience working with lidars and cameras - The salary range for this position is $120K to $300K annually - Equity compensation - Best-in-class healthcare, dental and vision plans. - Unlimited PTO - 401k with company match - Parental leave

Location: Seattle, WA / Remote

Salary range: None - None

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