As a TPM (Data Center) you will be responsible for;

• Partner directly with Engineering leaders to track and drive execution of critical initiatives across multiple engineering teams and TPMs
• Coordinate action items and program milestones from leadership meetings, ensuring accountability and timely delivery.
• Support teams in collecting and validating progress reports, metrics, and updates ahead of senior reviews to enable high-quality, streamlined discussions.
• Create and maintain program timelines, execution status to communicate progress and dependencies.
• Facilitate collaboration across hardware, software, and infrastructure teams to align on goals, deliverables, and timelines.
• Drive clarity and execution in ambiguous and complex environments by bringing structure, prioritization, and strong follow-through.

Qualifications;

• Strong background (10+ years) in Technical Program Management or Engineering Program Leadership.
• Demonstrated familiarity with Software (SW) and Data Center Hardware (DC HW) technologies.
• Excellent communication, stakeholder management, and cross-team coordination skills.
• Proficiency in project planning tools and tracking progress against complex timelines.
• Working knowledge of software development processes, Agile / SCRUM methodologies, and release cycles.
• Familiarity with data center operations, compute, networking, and storage infrastructure at scale.
• Proven ability to operate effectively in ambiguous, fast-paced environments while providing structure and driving program execution.

Salary Range: $160K-$350K

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

Note: This position is remote. However, the prospective candidate must be open to working during the customer's west coast (PST) hours.  

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $175,000 - $225,000, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

You are an agile and critical thinker who is energized by creative problem solving and building things. You thrive in ambiguity and working in dynamic environments. You enjoy learning and navigating novel and complex legal issues at the forefront of AI research and development. You are able to listen to a team’s business needs, identify priorities, and reconcile gaps between legal and technical requirements. You build relationships across the organization to maximize business results. You are able to juggle competing demands from many interested and energetic stakeholders.  You love  an aggressive deadline and relish an unexpected twist.

Please submit your application by April 30, 2026 to be considered for this role. We will start the application review process in early May 2026, followed by interviews. 

Who We Are: 

We are an existing legal team of three lawyers and one contracts and procurement manager. We are collegial and collaborative. We like to make up fun project names for our strategic initiatives. We work in a hybrid setting that includes a beautiful new office on Lake Union. We like in-person whiteboard sessions. We all work with a large amount of autonomy. As a team, we are slightly more pro-dog than pro-cat. We are passionate about Ai2’s mission.

Your Next Challenge:

This is a rare and unique opportunity to be fully immersed in truly open and cutting-edge AI research. The essential functions include, but are not limited to the following:

• Support all stages of development for open AI artifacts and technologies, including data curation, model training, release planning, and post-release management.
• Provide direct AI counseling for applications, research demos, scientific agents, and environmental and conservation tools, including diligence, data governance, and bridging legal and technical requirements.
• Review and prepare data licenses, open source licenses, and related documentation.
• Create and improve frameworks for responsible AI development and processes to streamline AI releases.
• Create AI development guides, playbooks, and templates for releasing AI resources and artifacts.
• Exercise sound judgment and provide strategic and practical legal guidance that balances business priorities, nonprofit mission, compliance, and evolving AI policies and regulation.
• Provide support and due diligence across Ai2’s charitable, scientific, and educational activities and ensure that they are conducted within appropriate legal and regulatory frameworks.
• Collaborate and coach others across the organization on areas of expertise to drive success and impact.

What You’ll Need:

Education/Certifications:

• Minimum Degree required: JD
• Licensed to practice law in Washington State

Required:

• 6+ years of technology transactions experience in a law firm or equivalent corporate environment.
• Experience with copyright and IP licensing.
• Experience with data governance and privacy laws like GDPR, CCPA, and/or HIPAA, and other international regulations like EU AI Act.
• Excellent presentation and facilitation skills: polished, concise, catered messages to different audiences.
• Self-starter: Does not need daily directions or close supervision to make decisions.
• Start-up mentality: adaptable, can pivot quickly.
• Skilled in working with ambiguity: comfortable identifying and solving for novel risks.
• Ability to adjust rapidly to new strategies and approaches for building support in a fast-moving environment.
• Ability to work on complex issues where problems are not clearly defined and where fundamental principles do not fully apply.
• Sufficient technical experience to communicate effectively with research and engineering experts.

Preferred:

• Prior experience in AI  or product counseling . 
• Experience and/or interest in project management to establish or improve processes and streamline legal team efforts with existing workflows in the company.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer 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. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits: 

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

As an Electrical Engineer at Carbon Robotics you’ll be a key part of the team that designs and manages the eyes and ears of our robots.  You will lead the selection, integration, and validation of the sensors and industrial components that allow our Laserweeder and autonomous systems to navigate rugged agricultural environments. You’ll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products.

What you’ll do:

• Identify and evaluate high performance sensors (LiDAR, Radar, IMU, GPS, Cameras), and industrial and automotive components (PLCs, power supplies, automotive ethernet switches) to meet the rigorous demands of 24/7 farming.
• Own the hardware lifecycle of these COTS components. This includes everything from research, vendor qualification, trade studies, mechanical and electrical integration, software integration (with software engineering team), testing, and in field support. 
• Work closely with the test engineers to define and execute component and integrated system qualification test plans to ensure our equipment can perform no matter the conditions.  
• Drive technical relationships with COTS suppliers and CM’s to ensure hardware availability and quality.
• Both lead and support key technical decision making through project planning, and cross-functional problem solving
• Prototype, debug, and iterate electrical designs through hands-on testing and automated verification.

Knowledge, Skills, and Abilities for Success:

• 3+ years experience as an Electrical Engineer 
• Experience with LiDAR, Radar, cameras, GNSS, IMUs, PLCs, automotive ethernet, and/or automotive cameras
• Experience with sourcing and qualifying components for high-reliability systems
• Experience with managing vendor and manufacturer relationships
• Experience with Altium Designer (v18+)
• Experience with component to wire harness design and integration
• Experience with with Capital a plus
• Hands on experience in hardware debug and automated verification
• Experience designing systems for harsh outdoor environments is a plus
• Experience with SolidWorks and Jira is a plus

• Demonstrated ability to work with a team to achieve timely objectives
• Awareness of industry standards and regulations (SAE, ISO, IPC, etc.)
• Effective verbal and written communication skills and a desire to work in multidisciplinary teams
• BS+ in Electrical Engineering, Mechanical Engineering or related field

Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

We are seeking a Principal Electrical Engineer to lead PCB design within the Agentic Computational Engineering (ACE) platform team and to encode the realities of space-electronics PCB design and manufacturing directly into our generative engine. In this role, you will own end-to-end PCB design — schematic capture, stackup definition, high-speed and mixed-signal layout, signal and power integrity, fabrication and assembly readiness — for flight hardware, and translate that hard-won expertise into the constraints, heuristics, and feedback loops that let our AI agents design boards that can actually be built, qualified, and flown.

You will work at the intersection of PCB design, space-grade manufacturing, and AI — pairing your own hands-on board work with software development that captures DfM, DfA, and DfT considerations as code. This role is ideal for someone who has personally laid out flight boards, knows what fabricators and assembly houses actually need to see on a drawing package, and is excited to guide the team and write the software that lets an agent reason about those same trade-offs. You should be passionate about both leading a team and building this product: not just designing one more board, but multiplying your impact by encoding your judgment into a system that designs the next thousand.

You will be joining the Agentic Computational Engineering (ACE) team, a specialized group within our Advanced Technology Development organization. ACE is responsible for building Voyager’s Generative Engine – the AI-native platform that compresses complex hardware development cycles from years to days. We design agentic AI systems that pair deeply with physics simulation, test data, and modern manufacturing so that Design for Manufacturing (DfM), Design for Assembly (DfA), and Design for Test (DfT) are built into the very first line of code and the very first sketch of a design.

The position reports to the VP, AI & Autonomy and is part of the Technology and Advanced Development department based in Los Angeles, CA; Washington D.C; Seattle, WA.

This role is hybrid based in Los Angeles, CA; Washington D.C; Seattle, WA.

• Own the vision and execution of the PCB vertical of the Agentic Computational Engineering platform — defining how an agentic system should reason about end-to-end PCB design and manufacturing for space-grade flight electronics, and guiding the engineering team that implements it.
• Frame the problem space for the team: catalogue the design and manufacturing decisions a senior PCB engineer makes on a flight program (substrate and stackup, SI/PI, DfM/DfA/DfT, parts derating, fab and assembly liaison, qualification) and translate each into structured problems an agent can solve autonomously.
• Plan the PCB vertical's roadmap in lockstep with AI, simulation, manufacturing, and product leadership — sequencing capabilities, identifying high-leverage bets, and articulating clear success criteria for each agentic capability we ship.
• Educate the team continuously on space-electronics PCB design and manufacturing — running design-review walkthroughs, writing internal references, and turning your judgment into shared mental models the rest of the team can build against.
• Drive product taste for the PCB vertical: define what a great agent-generated design package looks like, what quality bar it must hit, and where the agent should defer to a human — so the team builds something that practicing PCB engineers actually trust.
• Lead testing and qualification of agent-generated designs — running design reviews, fabricating and assembling representative boards, and executing electrical, environmental (vibe, thermal, EMI/EMC), and radiation campaigns to evaluate real-world performance.
• Provide detailed, structured feedback to the team building the platform — turning every test, fab spin, and design review into specific, actionable signals that improve the agents, the constraint models, and the simulation tie-ins.
• Partner with fab houses, assembly houses, and component vendors to encode their real constraints — IPC class 3, NASA workmanship, lead times, parts availability, qualification artifacts — into the platform so generated designs are buildable on the first spin.
• Set the technical direction for AI-driven tooling in the PCB vertical (Python/C++ services, LLM-based agents, scripting), guiding engineers on how to decompose PCB-engineering judgment into agents that can make decisions autonomously and explain them.
• Represent the PCB vertical to Voyager hardware programs and external customers — communicating capabilities, limitations, and the roadmap with the credibility that comes from having designed flight hardware yourself.

In this role, the essential functions are:

If your experience aligns with our basic qualifications and you are inspired by our mission, we’d like to connect. If you don’t see the right role right now, Join Our Talent Community and stay connected as we continue to build what’s next. 

• 12+ years of hands-on PCB design experience for space, aerospace, defense, or other high-reliability electronics, including delivered flight or flight-equivalent hardware on programs you can speak to in depth.
• Demonstrated technical leadership of a PCB or hardware function — setting direction, mentoring engineers, owning quality, and being the person the rest of the team escalates to on hard design and manufacturing calls.
• End-to-end mastery of the PCB process — schematic capture, multi-layer stackup design, controlled-impedance and high-speed routing, mixed-signal and RF layout, SI/PI analysis, DfM/DfA/DfT, fab/assembly liaison, bring-up, and environmental/qualification testing — in Altium Designer or equivalent ECAD.
• Excellent product taste: a track record of deciding what to build, what quality bar to hold, and what to cut — and articulating those calls clearly to engineering, product, and program stakeholders.
• Strong communication and teaching ability — comfortable running design reviews, writing internal documentation, and educating non-PCB engineers (AI, software, simulation, manufacturing) on what matters and why.
• Strong programming skills in Python and/or C++, and demonstrated use of AI tools, LLMs, or scripting to automate engineering work — design reviews, BOM management, layout checks, parts-stress analysis, or data pipelines.
• Ability to define how an agentic system should reason about engineering problems — decomposing PCB design and manufacturing decisions into objectives, constraints, and feedback signals an autonomous agent can act on.
• Genuine passion for building this product: excited to lead a team that turns your hard-won PCB judgment into a generative engine designing the next thousand boards.
• Ability to obtain and maintain a U.S. Top Secret Security Clearance.

Preferred Qualifications: 

• Master's or PhD in Electrical Engineering or related discipline.
• Experience leading PCB design or hardware engineering at NASA centers, JPL, major space primes, or new-space companies; familiarity with PDR/CDR processes, NASA workmanship standards (NASA-STD-8739), SMC-S-016, MIL-STD-461G, WCCA/EPSA, and IPC class 3.
• Hands-on experience with FPGA/SoC-based single-board computers (e.g., Xilinx Ultrascale+ MPSoC, GR712, RTAX/RTG4), high-speed ADC/DAC layout, and RF front-ends across UHF through Ka-band.
• Experience defining or qualifying substrates and stackups (e.g., Rogers, Isola Tachyon/MT-40) against electrical, thermal, and radiation-environment requirements, and running radiation effects testing (TID, SEE, SEL, SEU).
• Familiarity with systems-engineering tooling (JAMA, DOORS, Jira) and EICD/requirements practices spanning box, slice, and board level.
• Track record of building or leading the build of internal tooling, design automation, or AI/LLM-based assistants that measurably improved PCB design or review throughput.
• Experience guiding software or AI engineers — translating engineering domain knowledge into specifications, evaluation criteria, and feedback that shape what gets built.
• Evidence of personal projects in electronics, robotics, or RF — the kind of work where you build the thing yourself for the love of it.

The good faith base salary range for this role is$225,000 - $290,000 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.

This position is incentive plan eligible.

Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.  

• Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance

• Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees
• Flexible, affordable gym memberships with 12,700+ options nationwide including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness and more! No long-term contracts and FREE on-demand workout videos before you enroll

• 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security

• Company wellness programs that support physical and mental well-being

• Additional voluntary benefits and employee support resources
• The opportunity to work alongside a highly talented team in an innovative, mission driven environment

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. 

Able to obtain and maintain a U.S. security clearance

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. 

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a site reliability engineer in Discovery, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve critical outcomes. 

You’ll work closely with software, data, and operations engineers to get systems into the hands of customers, deployed and supported on real infrastructure, with real users.

Above all, Site Reliability Engineers must be driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound decisions to deliver successful outcomes on-time and with high quality.

WHAT YOU’LL DO

• Improve Anduril’s operational capabilities by improving our core product offering through root cause analysis and creating tooling capable of managing large scale deployments
• Drive continuous organizational improvement by leading post-mortem events involving diverse stakeholders
• Quickly diagnose and resolve system issues across cloud, robotics, and mesh networking architectures
• Lead the organization in building scalable, sustainable mechanisms to continue delivering to customers at the pace the business is scaling
• Design, develop, and deliver solutions using modern technologies that ensure scalable and fault tolerant delivery of systems to the warfighter
• Build strong relationships with internal and external customers to identify technical solutions to their problems

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• STEM degree or equivalent technical experience
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, application development, hardware design, and/or cybersecurity
• Minimum of 5 years of operations and engineering experience
• Proficiency with IaC tools (Terraform, Ansible).
• Experience with cloud platforms (Azure, AWS, GCP).
• Proficiency in containerization (Docker) and container orchestration (Kubernetes).
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact

PREFERRED QUALIFICATIONS

• Ability to drive consensus across internal and external stakeholders
• Experience developing and delivering solution to evolving problems in complex environments
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across command echelons
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Experience building scalable solutions along with plans for implementation. Not just the end state, but what are the steps needed to get there while maintaining the customer experience
• Experience performing data-driven root cause analysis on complex systems
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Excellent written and verbal communication skills

As a Contract Senior Technical Sourcer, you will be a key partner in scaling our technical teams during a critical phase of growth. You’ll work closely with recruiters and hiring leaders to build high-impact sourcing strategies, engage top-tier talent, and ensure a strong, mission-aligned candidate pipeline.

This position is based in Seattle with an expectation of 4 days per week in-office.

What you’ll do:

• Design and execute strategic sourcing initiatives across our most important software engineering roles
• Partner closely with recruiters and hiring managers to develop tailored sourcing strategies
• Conduct in-depth candidate screens, evaluating technical capabilities, problem-solving ability, and alignment with company mission and stage
• Use market insights and talent mapping to inform hiring strategy and improve pipeline quality
• Support broader recruiting initiatives and contribute to process improvements as the company scales

Knowledge, Skills, and Abilities for Success:

• 5+ years of technical sourcing or recruiting experience
• Demonstrated success sourcing for high caliber, Sr. Software Engineers in high growth startups
• Proven ability to think strategically about talent pipelines, not just execute outbound sourcing
• Hands-on experience with Greenhouse ATS and modern sourcing tools (LinkedIn Recruiter, GitHub, etc.) 
• Excellent communication and stakeholder partnership skills
• Ability to thrive in a fast-paced, highly collaborative, in-office environment

ABOUT THE TEAM:

ArsenalOS is the digital backbone of Anduril’s hardware enterprise. It connects the full lifecycle, from concept to build to field feedback, into one operating environment built for speed, traceability, autonomy, and continuous improvement. That environment includes not just the software used to design, plan, and execute work, but also the factory-facing infrastructure that connects operators, machines, test systems, and OT networks into the same adaptive Build Chain. It is not a support function, but rather a strategic investment by Anduril that the operating system of the hardware lifecycle is how we win. It will be one of the mechanisms by which Anduril out-builds, out-adapts, and out-scales the traditional defense industrial base.

ABOUT THE JOB:

We are looking for a Staff Software Engineer to join our QualityOS team within Forge MES (Manufacturing Execution System). As a Staff Engineer, you will set the technical direction and architectural standards. You'll architect and implement mission-critical distributed systems that scale Anduril's manufacturing operations while maintaining the technical bar for reliability, performance, and maintainability.

Your impact will span beyond the immediate team. You'll serve as a technical bridge between the QualityOS product team and our Platform/Foundations organization, ensuring we build on solid infrastructure while influencing platform capabilities to meet manufacturing needs. You'll represent the quality domain in broader MES architectural decisions, contributing to technical strategy that affects multiple product teams.

We're looking for someone who combines deep technical expertise with strong collaborative instincts—someone who can dive into complex distributed systems, establish patterns that others follow, and drive consensus across engineering teams. You'll balance hands-on technical execution on critical features with raising the technical standards of the team through architecture reviews, code quality, and operational excellence. Your decisions will have lasting impact on how Anduril scales manufacturing quality systems into a next-generation defense company.

WHAT YOU'LL DO

Technical Architecture & Execution:

• Define and drive technical architecture for QualityOS - make decisions on system design, scalability patterns, integration strategies, and platform vs. build tradeoffs that shape team execution
• Architect and implement complex distributed systems - build mission-critical services, APIs, and tooling that enable safe, fast delivery across manufacturing quality workflows
• Lead by example with engineering excellence - establish patterns through hands-on work: comprehensive testing, deployment safety (blue/green/canary), infrastructure as code, observability, and operational rigor

Cross-Team Influence & Collaboration:

• Bridge product and platform teams - collaborate with Platform/Foundations to shape shared infrastructure based on QualityOS needs while driving adoption of platform capabilities
• Partner across MES product teams - integrate QualityOS into cohesive manufacturing experiences, evolve data models across quality/production domains, and drive technical consensus on cross-cutting concerns
• Represent quality domain technically - work with architecture, security, operations, and infrastructure teams to ensure quality requirements influence broader technical decisions

Team & Technical Standards:

• Raise the technical bar for the team - through rigorous code review, architecture discussions, establishing shared ownership models, and improving practices that balance velocity with correctness
• Remove friction and unblock execution - identify systemic technical issues, eliminate single points of failure, and create leverage through automation and improved tooling

REQUIRED QUALIFICATIONS

• 12+ years of experience in a software engineering role building products in fast-paced environments
• Proven ability to influence technical direction across teams - drive architectural consensus, build alignment, and lead technical initiatives beyond a single team
• Experience working with large enterprise applications and platforms with high availability requirements
• Strong full-stack capabilities with expertise in modern web technologies - JavaScript/TypeScript, React, and web frameworks (Next.js, Remix, etc.)
• User-focused engineering mindset - ability to translate user needs into technical solutions while balancing user experience with engineering constraints
• Excellent communication skills, able to influence stakeholders, translate ambiguous requirements and build cross-team alignment.
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS

• We encourage people from all backgrounds to apply but our tech stack uses AWS, Typescript, and React/Remix so familiarity with all of these tools will be particularly helpful
• Experience in hyper growth startup-like environments. Demonstrated successes in scaling and maturing software development processes, team culture and methods, and ability to balance short-term and long-term trade offs
• Manufacturing/quality domain knowledge - experience with quality management systems (QMS), manufacturing execution systems (MES), or incident management platforms
• Experience in defense, autonomy, robotics, or mission-critical systems (helpful but not required)
• Experience with AI/LLM integration - leveraging state-of-the-art models and agentic tooling in production software development
• Eligible to obtain and maintain a U.S. TS/SCI clearance

As a Electrical Engineer, Edge Compute at Carbon Robotics be a key part of the team that designs and manages the distributed computing infrastructure that is the heart of our robots. You are responsible for the specification, design, vendor management, integration, and thermal/electrical management of the compute and network clusters. You’ll ensure our mobile platforms can survive the harsh vibrations, dust, and heat of the farm while maintaining peak processing performance. You’ll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products.

What you’ll do:

• Work in a fast-paced, multi-disciplinary team to design revolutionary products
• Own the specification, design/selection, qualification and integration of high-performance compute and network modules.
• Lead testing of compute and networking hardware through environmental, power quality, and EMI/EMC qualification campaigns. 
• Interface with hardware vendors to source components, define assembly work instructions, and ensure quality of compute assemblies.  
• Quickly prototype, troubleshoot, and iterate solutions for electrical signaling issues, PCIe/USB/Ethernet bottlenecks, and hardware-level failures in the field

Knowledge, Skills, and Abilities for Success:

• 5+ years experience as an Electrical Engineer 
• Experience designing production embedded hardware, with at least one full carrier board or SoM-based design taken to volume manufacturing
• Experience with PCIe Gen3/4, MIPI CSI-2, USB 3.x, and DDR4/LPDDR5 design and testing
• Significant experience designing compute systems for harsh outdoor environments with intermittent connectivity
• Experience with Altium Designer
• Experience with low-level Linux systems, including driver configuration, device trees, and board support packages (BSP) is a plus
• Experience with SolidWorks is a plus

• Experience with Jira is a plus
• Hands on experience in hardware debug and automated verification
• Demonstrated ability to work with a team to achieve timely objectives
• Awareness of industry standards and regulations (SAE, ISO, IPC, etc.)
• Effective verbal and written communication skills and a desire to work in multidisciplinary teams
• BS+ in Electrical Engineering, Mechanical Engineering or related field

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

RAIL has two primary customers:

• Mission Autonomy (MA) — Mission Autonomy at Anduril is responsible for coordinating mission-level behaviors by manipulating hardware. For example, “fly to these waypoints,” “enter radio silence mode,” or “arm munitions.”
• Robotics Business Lines — These teams own specific Anduril robots end-to-end, as well as individual pieces of hardware on those robots.

RAIL bridges the gap between Mission Autonomy and diverse sets of hardware by creating common hardware interfaces. To allow Anduril to effortlessly integrate with new hardware. RAIL enables Anduril to scale and deploy ambitious new robot designs on short timelines by leveraging learnings and investments from our existing portfolio of diverse hardware and products.

For example, Anduril procures autopilots from a multitude of different hardware vendors. Each autopilot has a subtly different hardware interface — some use MAVLINK, some use STANAG, others use bespoke vendor-specific serial interfaces. Despite having different interfaces, they all provide standard functionality that flies along a set of waypoints.

As an author of advanced mission behavior, I shouldn’t care whether my autopilot speaks MAVLINK or STANAG — I just want my vehicle to get flying. RAIL abstracts away these subtle hardware differences from Mission Autonomy by providing a shared, common interface as a layer between Mission Autonomy and low-level hardware integrations. RAIL also provides other valuable features such as hardware custody management and access-control semantics, shared-memory IPC approaches and flexible observability plugins, to name a few.

RAIL is uniquely situated within Anduril. As the layer between Mission Autonomy and low-level-hardware at Anduril, you will find yourself developing a broad set of expertise working with nearly every robotics team at Anduril. To date, we’ve flown all across our US offices and test sites to launch new initiatives with Ghost, Altius, Dive, and Fury. Come help RAIL build the future of robot autonomy at Anduril!

WHAT YOU'LL DO

• Own major feature development and rollout of large features for our products — RAIL works with nearly every robotics team at Anduril — humility, empathy, and strong collaboration skills are key to success on the RAIL team!
• Write and maintain core systems that all robotics platforms at Anduril will use.
• Work closely with our vehicle software teams during product development, understanding their needs, and delivering high leverage software they are able to use bring their product to market.

REQUIRED QUALIFICATIONS

• 4+ years of C++ or Rust experience in a Linux development environment — you will be expected to learn Rust on the job, but prior Rust experience is not required
• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience working with and testing electrical and mechanical systems
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience programming for embedded and physical devices
• Eligible to obtain and hold a US DoD Security Clearance
• Python and/or Go experience
• Multi-agent coordination of UAVs

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The work spans cryptographic protocols, operating system hardening, secure boot, hardware security integration, authentication systems, and distributed protocol security across embedded, edge, and cloud environments.

Job Description

We're looking for senior and staff-level software engineers to design and build security solutions across Anduril's product ecosystem. You'll partner directly with business line engineering teams to understand their systems, threat models, and security requirements — then design and implement solutions that range from custom, business-line-specific implementations to shared platform services. The problems you'll work on span the full stack — secure hardware, operating systems, container orchestration, distributed services, and cloud infrastructure — and you'll move between them as the mission demands. We value engineers who are strong generalists: comfortable learning new domains quickly and working across security boundaries rather than specializing in just one.

We're also open to hiring talented software engineers with less security-specific experience, provided they have a strong track record building production software at scale, learn fast, and are motivated to go deep on security.

Key Responsibilities

• Design and implement security features and services for business line products — including custom solutions when platform capabilities don't yet exist
• Identify patterns across business line implementations and promote them into shared, composable platform security services
• Build tooling, libraries, and reference implementations that enable engineering teams to adopt secure patterns independently
• Lead security architecture reviews and threat modeling for business line and platform systems
• Implement cryptographic protocols, key management systems, and certificate infrastructure
• Work across the technology stack: secure hardware (TPM, TEE), operating systems, container orchestration, and application-layer security
• Provide hands-on engineering support to business line teams adopting platform security services
• Collaborate with the Security Applications & Tools team on cross-cutting security infrastructure

Required Qualifications

• 6+ years of experience designing and developing production software in large-scale environments (8+ for Staff level)
• Proficient in at least one of: C++, Rust, or Go
• Strong software engineering fundamentals: you can design, build, and operate complex systems and pick up new domains quickly
• Experience working on security for distributed systems, or demonstrated ability and motivation to develop deep security expertise
• Ability to work directly with product and engineering teams to translate requirements into working implementations
• Comfortable working across multiple problem domains rather than specializing in a single area
• Strong communication skills with proven ability to negotiate and reach consensus across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

Experience or willingness to learn in a subset of the following:

• Designing and implementing secure protocols, APIs, or cryptographic systems
• Integrating secure hardware (TPM, TEE, HSM)
• Operating system security and hardening (Linux)
• Securing Kubernetes deployments and container runtimes
• Embedded systems or robotics security
• Secure cloud architectures (AWS or Azure)
• Performing security architecture reviews and threat modeling

Additionally valuable:

• Proficient in: TypeScript, React, Python
• Experience building shared libraries, SDKs, or platform services consumed by other engineering teams
• Knowledge of cryptographic primitives and best practices (key management, certificate lifecycles, secure key storage)
• Familiarity with compliance frameworks (STIGs, NIST) and translating requirements into engineering controls
• Experience with Nix build systems

ABOUT THE TEAM

The Tasking Team is part of the Lattice software platform and enables command and control of robots, sensors, and third-party integrations through our flexible, software-defined tasking framework. Our work spans both ground and robot software, creating a unified model for task delivery, state management, and execution reasoning. As a core software capability, the Tasking Team's work directly enables mission-critical operations across all domains, across Anduril products and missions, and developer program partners integrating with the Lattice SDK. Our solutions are designed for real-world deployment in the most demanding operational scenarios, where the ability to maintain command and control of autonomous systems can make the difference between mission success and failure.

ABOUT THE JOB

We are looking for a Senior Software Engineer to join our team, where you will design and develop the core task execution framework onboard autonomous vehicles, enabling reliable command and control through our Lattice Autonomy stack. You will collaborate closely with platform teams, autonomy engineers, and end users to create solutions that enable efficient, reliable tasking of autonomous systems in real-world defense scenarios. If you are someone who is self-motivated, holds yourself to high standards, and thrives in a low-structure, high-autonomy environment, then this role is for you.

WHAT YOU’LL DO

• Design and implement core components of our Tasking framework that runs onboard autonomous vehicles as part of Lattice for Mission Autonomy
• Develop robust, fault-tolerant systems that can operate reliably over denied or degraded communications links
• Create interfaces that enable third-party systems to integrate with our Tasking framework through the open source Lattice SDK
• Collaborate with autonomy teams to ensure their platforms can reliably receive and execute tasks

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or relevant field, or equivalent experience
• 5+ years of professional software development experience, with a focus on distributed systems or robotics
• Deep experience with C++, Rust, or similar systems programming languages
• Proficiency with protocol design and implementation (gRPC, protobuf, etc.)
• Experience building software solutions involving significant amounts of data processing and analysis
• Excellent collaboration skills and ability to work across multiple engineering teams
• A desire to work on critical software that has a real-world impact
• US Persons: Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS

• Experience with autonomous systems or command and control systems
• Background in developing systems for defense, aerospace, or other mission-critical applications
• Familiarity with software development for embedded systems or resource-constrained environments
• Distributed communication networks and message standards

ABOUT THE TEAM

The Connected Warfare Division builds mission-critical systems that enable global command and control for time-sensitive, multi-domain operations. By fusing robotics, sensor networks, and advanced software, we create connected mesh ecosystems that empower our military partners with a comprehensive source of truth for rapid decision-making. Our Mission Command group is at the forefront of delivering software solutions that integrate seamlessly with hundreds of thousands of endpoints worldwide, ensuring operational superiority on a global scale.

ABOUT THE JOB

Solutions Architects play a pivotal role in Mission Command, tying together what we are doing across engineering, program management, and growth. They work with growth from the earliest stages of customer engagement to understand user needs and collect requirements and then they help create proposal packages, roadmaps, staffing plans, and compelling demos to win programs.

WHAT YOU’LL DO

• Shape requirements of complex programs, develop significant engineering and staffing plans to deliver on roadmaps to meet customer needs and timelines
• Develop presentations, RFI responses, and white paper templates for other Solutions Architects to use as an 80% solution
• Be a trusted partner to growth and engineering to represent both the current state of MC capabilities, as well as the art of the possible, with senior government customers and leadership at partner companies
• Come up with an exercise strategy and approach to increase PWin of future opportunities, then execute on that strategy, leading large-scale exercise execution 
• Work with external companies to strategize on prototypes of combined capabilities, then lead complex delivery of these prototypes in coordination with engineering
• Exhibit autonomy in completing tasks and shoulder ownership of multiple complex deliverables
• Be trusted across Anduril as a go-to person when initial technical conversations with Mission Command about potential partnerships and opportunities are needed
• Navigate complex organizational and engineering problem sets while balancing them with timelines, budgets, and people. This requires strategic thinking and creative problem solving that aligns with the organization’s short and long-term goals

REQUIRED QUALIFICATIONS

• Understanding of military operations and command structures
• Knowledge of mission systems or battle management systems
• 2-3 years of experience supporting proposal and capture activities, including familiarity with DoD acquisition processes
• 5-8 years of experience in hands-on technical work, such as software development experience
• Experience in applying technical expertise to solving integrated system challenges with the application of commercial products to include demonstration
• Experience in network infrastructure, protocols, and technologies
• Willing to travel up to 25%
• Eligible to obtain and maintain an active U.S. security clearance

PREFERRED QUALIFICATIONS

• Experience in technical leadership roles, such as an engineering manager
• Experience in rapid capability fielding activities, or equivalent commercial capability delivery
• Experience in transitioning prototype efforts into production, whether from the technical lens or as a proposal leader
• Technical leadership experience with demonstrated capability to deliver impactful solutions within balanced cost, schedule and technical objectives of a complex research and development activity
• Ability to work within organizations with minimal structure and with minimal direction
• Experience with military software standards, such as CoT, Link-16, ASTERIX, etc.
• Advanced degree in a relevant technical discipline

The Warfighter Systems division is pioneering a future where mixed reality (MR) creates immersive, intuitive, and life-saving technologies. We develop next-generation capabilities that put advanced technology directly in the hands of operators, enhancing soldier lethality and survivability. This team is responsible for taking innovative concepts from prototype to fieldable product on aggressive timelines.

ABOUT THE JOB

You'll build the technical development and productization of advanced hardware and software systems that integrate cutting-edge technologies—including computer vision, sensor fusion, RF and networking systems, embedded computing, precision actuation, autonomy, and ruggedized platform design. This is a zero-to-one build opportunity where you'll contribute to the transition from early-stage prototypes to fielded, production-ready systems built for operational environments.

We're looking for senior engineers and technical leaders with deep expertise in one or more of the following:

• RF and networking systems – communications architectures, wireless systems, distributed networks
• Hardware engineering – electromechanical integration, precision actuation, ruggedized platform design
• Embedded software and real-time systems – edge computing, control algorithms, sensor fusion
• Sensor integration – computer vision, lidar, optical systems, multi-sensor architectures
• Systems architecture – complex system integration, autonomy platforms, hardware/software co-design

Whether you're an RF expert, a hardware engineering leader, a software architect, or a systems integrator who operates across multiple domains—if you have a track record of taking complex technical systems from concept to production, we want to talk to you.

Your scope will include system architecture and integration across hardware and software domains, component selection and qualification, algorithm optimization, mechanical and electrical design, manufacturing scalability, and test and evaluation. You'll build and lead a high-performing engineering team within Anduril's Connected Warfare Division, establishing technical vision and driving rapid execution from concept to deployed capability. This role demands the ability to operate across disciplines—bridging embedded systems, autonomy, sensors, communications, and platform integration—while maintaining relentless focus on delivering mission-critical capability to end users.

WHAT YOU'LL DO

• Lead end-to-end technical and programmatic execution to transition prototypes and proof-of-concept systems into production-ready products for defense customers
• Build and manage a high-performing, multidisciplinary engineering team, establishing team culture, technical standards, and execution cadence
• Own the technical roadmap for system productization, including architecture definition, hardware/software integration, design for manufacturing, ruggedization, qualification testing, and supply chain strategy
• Work cross-functionally with software, hardware, autonomy, RF/networking, systems engineering, and manufacturing teams to optimize system performance, reliability, and scalability
• Establish and execute rigorous qualification and testing programs to validate performance, reliability, and safety under operational conditions
• Support field testing and operational evaluation with end users, incorporating feedback to refine system design and performance
• Ensure all work meets applicable safety standards, MIL-STD requirements, and regulatory compliance frameworks
• Manage technical risk, schedule, and resource planning to deliver capabilities on aggressive timelines
• Travel 25%+ to test sites, manufacturing partners, customer locations, and operational environments

REQUIRED QUALIFICATIONS

• Bachelor's degree or higher in Mechanical, Electrical, Computer, Robotics, Systems Engineering, or related technical field
• 10+ years of hardware and/or software engineering experience with demonstrated progression in technical leadership roles
• Proven track record taking prototype or proof-of-concept systems to production and customer delivery
• Deep experience with complex system integration across hardware, software, and/or electromechanical domains
• Strong understanding of manufacturing processes, design for manufacturability (DFM), reliability engineering, and supply chain management
• Experience building and leading engineering teams, setting technical vision, and driving execution in fast-paced environments
• Excellent communication skills and ability to interface with cross-functional teams, senior leadership, and customers
• Must be a U.S. person & eligible to obtain and maintain a U.S. Secret security clearance
• Must be authorized to work in the United States

PREFERRED QUALIFICATIONS

• Proven ability to take multiple products from concept to market or operational deployment
• Background in one or more of the following: precision systems, sensor integration, RF/communications systems, embedded computing, autonomy platforms, or ruggedized hardware design
• Experience with defense or aerospace systems, including familiarity with MIL-STD requirements and military qualification programs
• Knowledge of sensor technologies such as lidar, optical systems, radar, or RF sensing
• Familiarity with real-time control systems, edge computing, and distributed architectures
• Experience with system-level testing, environmental qualification, and reliability validation
• Background working in fast-paced, high-ambiguity startup or R&D environments

Disclaimer: Given the broad spectrum of technical specializations and leadership levels these roles encompass, the compensation package will be highly competitive and individually tailored based on your specific experience, depth of expertise in relevant domains (e.g., RF, hardware, software, systems architecture), and demonstrated leadership capabilities.

ABOUT THE TEAM

The Connected Warfare Software Engineering team builds, deploys, integrates, extends, and scales Anduril's software to deliver mission-critical capabilities to our customers. As the software engineers closest to Anduril customers and end-users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end-to-end delivery of winning capabilities such as Counter Intrusion, Joint All Domain Command & Control, and Counter-Unmanned Aircraft Systems.

As a Software Engineer on the Mission Command Software Engineering team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU’LL DO 

• Own the software solutions that are deployed to customers
• Write code to improve products and scale the mission capability to more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints
• Travel up to 30% of time to build, test, and deploy capabilities in the real world

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret Clearance
• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• At least 4-10+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact

ABOUT THE TEAM

Anduril's TRS Simulation team owns the ecosystem, frameworks, and guidance that make simulation possible, repeatable, and scalable across the Tactical Recon & Strike business line. We don't just run sims, we define what it means for a simulation to be trustworthy. Our team operates across four pillars: Sim Infrastructure, Sim Fidelity, Sim Integrations, and Training Simulations, supporting products like Altius, Ghost, Bolt, and Anvil from early development through field deployment. Every fidelity improvement, every validated model, and every simulation environment we deliver directly determines whether autonomous systems are ready to fly real missions.

Our vision is one simulation framework that serves every product and every deployment target, from a developer's laptop through CI pipelines, operator training environments, and large-scale HPC Monte Carlo campaigns. The same declarative workspace definition can be composed, extended, and deployed wherever simulation is needed, so teams spend their time on mission problems instead of reinventing infrastructure.

THE ROLE

This role is for a versatile engineer who thrives in a fast-paced, cross-functional environment with a different challenge every day. The Sim Integrations sub-team is the connective tissue between the simulation platform and the programs that depend on it. You'll take program simulation requirements, understand the delta against existing capabilities, build clear action plans, and own those plans to completion, including responsibility for positive customer and program feedback. The work moves fast and the priorities are real, but so is the impact: the simulation environments you deliver directly enable teams to develop, validate, and field autonomous systems.

You'll work across the full breadth of TRS products and programs, interfacing with program managers, autonomy engineers, systems engineers, operators, and customers. No two weeks look the same: one week you might be standing up a new simulation environment for a field exercise, the next you're debugging a network configuration across a distributed sim, and the next you're wrangling integration issues across multiple program deliverables. You will own your solutions from design through delivery and long-term maintenance, with the support and collaboration of our team behind you. If you're a jack-of-all-trades who loves thinking on your feet and making other teams successful, this is your role.

WHAT YOU'LL DO

• Serve as the primary simulation point of contact for TRS programs, translating program-specific simulation requirements into actionable technical plans and owning delivery end-to-end.
• Identify deltas between existing simulation capabilities and program needs, then coordinate across Sim Infrastructure, Sim Fidelity, and functional engineering teams to close those gaps.
• Configure, extend, and validate simulation environments across the full stack, from autonomy and sensor configurations to networking and deployment infrastructure.
• Support field events, customer demos, and program milestone deliverables with hands-on simulation expertise and rapid troubleshooting.
• Collaborate with program managers and systems engineers to align simulation fidelity levels with program priorities, using our team's fidelity rubric to drive investment where it has the most impact.
• Develop reusable patterns and documentation so that program-specific solutions feed back into the platform and reduce the cost of the next integration.
• At the senior level: manage the portfolio of active program simulation engagements, drive cross-program prioritization, and mentor other engineers on integration best practices.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 3+ years of professional software engineering experience in an industry setting, with hands-on delivery of software to internal or external customers.
• Proficiency across multiple programming languages (C++, Python, Bash) with the versatility to pick up whatever the problem demands.
• Strong Linux/Unix fundamentals: comfortable navigating systems, debugging across layers of the stack, and working in terminal-driven workflows.
• Working understanding of networking concepts (protocols, routing, network debugging) sufficient to troubleshoot distributed simulation environments.
• Comfortable with the professional software development lifecycle from start to finish.
• Experience working directly with customers, program teams, or stakeholders to translate requirements into delivered capabilities.
• Demonstrated ability to manage multiple concurrent workstreams, prioritize effectively, and deliver under real deadlines.
• Ability to quickly understand and navigate complex systems and established code bases.
• A desire to work on critical software that has a real-world impact.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Additional for Senior candidates:

• 5+ years of professional software engineering experience.
• Experience managing a portfolio of deliverables across multiple programs or customers simultaneously.
• Track record of mentoring engineers and establishing repeatable processes that scale beyond a single person.

PREFERRED QUALIFICATIONS

• Experience with simulation frameworks, real-time systems, or robotics platforms.
• Experience with modern build and deployment tooling (Nix, Docker, CI/CD systems).
• Experience with NixOS or declarative system configuration.
• Familiarity with field deployment, customer demos, or operational support for software systems.
• Experience creating or maintaining software-in-the-loop (SITL) test environments.
• Ability to context-switch effectively across diverse technical domains without losing quality.
• A bias toward rapid delivery and iteration.

The Tactical Recon and Strike (TRS) team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from paper sketches to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces.

As a Staff Software Engineer - Security , you will take ownership of and enhance the security roadmap for TRS products and software services, working closely with engineering teams to create solutions that not only meet but exceed industry-standard security goals. You will engage with various teams to identify and remediate vulnerabilities in designs, implementations, integrations, and processes, while also designing and developing security software for embedded systems. The ideal candidate will possess a strong background in software engineering with a focus on platform security, enabling them to conduct complex security architecture reviews, research and mitigate exploits targeting hardware and software, and implement critical features in collaboration with engineering teams to build resilient products.

*This position will be located in our Costa Mesa CA, Seattle WA, or Atlanta GA location. We offer full relocation benefits if necessary.

WHAT YOU’LL DO

• Own the development and maturation of TRS products and software services security roadmap.
• Collaborate and build solutions with engineering teams to meet and exceed industry-standard security goals
• Engage with teams to remediate uncovered weakness in designs, implementations, integrations, and processes
• Design and Develop embedded system security software

REQUIRED QUALIFICATIONS

• Strategic vision and technical depth, maintaining active involvement in security architecture and implementation
• Proficient with one or more programming languages (e.g. C/C++, Rust, Python)
• Experience assessing security of firmware, applications, network, IoT, or embedded systems
• Experience developing features for and improving security of firmware, applications, network, or embedded systems
• Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems
• Familiarity with anti-tamper and reverse engineering mechanisms
• Experience in Platform security engineering and secure SDLC implementation
• Strong and professional communication skills (written and verbal)
• Demonstrated commitment to practical, mission-enabling security solutions
• Must be eligible to obtain and maintain a US TS clearance

PREFERRED QUALIFICATIONS

• Familiarity with security architectures of embedded, aerospace, or cyber-physical systems
• Experience with programmable logic devices and their development tools
• Knowledge of cyber threat actors, their TTPs, and their implications for weapon and space system operations
• Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems
• Experience conducting incident response in cloud systems and embedded systems

ABOUT THE TEAM

Anduril Engineers in the Connected Warfare (CW) Division work across disciplines to build, deploy, integrate, extend, and scale Anduril's software and hardware systems to deliver mission-critical capabilities to our customers at the tactical edge. As the engineers closest to customers/end-users, ECC Tactical Network Engineers are designed to solve technical challenges of operational scenarios while owning the end-to-end delivery of new capabilities from zero to one.

As a Tactical Network Engineer on the Edge Compute and Comms (ECC) Engineering team, you will combine industry-leading commercial communications technologies with legacy military radio systems to rapidly prototype and create new products and solutions to address a wide variety of customer problems involving software, hardware, networking, autonomy/robotics, systems integration, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril and third-party products seamlessly work together to achieve a variety of critical outcomes.

Above all, ECC Engineers are driven by a "Whatever It Takes" mindset—executing in an expedient, scalable, and methodical way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality. You will work on new technology introduction and enhancing products like the Menace Family of Systems to bring integrated C4 (Compute, Comms, Command, and Control) capabilities to the tactical edge.

Our C4 systems must function in highly dynamic and adversarial DDIL (Denied, Degraded, Intermittent, Limited) environments where nodes have varying states of link quality & availability, have frequently changing network topologies and are under constant threat of interference ranging from electronic warfare to physical destruction. In addition, our assets are deployed to austere combat zones which do not have the well-developed network infrastructure which most network solutions rely on. Our challenge is to provide networking software and hardware systems that provide reliability, resilience, speed and security in these challenging environments.

WHAT YOU’LL DO

• Integrate emerging networking capabilities, bringing new hardware and software products into the Menace family of systems
• Contribute to networking requirements decomposition across cross-functional teams, helping define success in the face of ambiguity
• Design network topologies and configurations decomposed from complex design reference missions (DRMs) involving large scale unmanned systems and forward-deployed C2 systems
• Design, implement, deploy, and troubleshoot system networking solutions focused on Layer-1 (Physical), Layer-2 (Data), Layer-3 (Network), and Layer-4 (Transport) of the Open Systems Interconnection (OSI) reference model, and that meet and exceed industry-standard security goals
• Own systems end to end with the ability to identify and solve networking problems between the seams, scrutinize system performance, make tradeoffs, and deliver an outcome
• Perform trade-off studies of different comms and networking solutions including government provided technologies
• Build robust tooling for benchmarking and analyzing network traffic
• Analyze test network infrastructure, develop recommendations, and implement improvements for network reliability and throughput for edge network
• Collaborate extensively with software engineers to build a representative modeling and simulation environment including hardware-in-the-loop lab infrastructure
• Analyze network packet data to identify anomalous behavior, potential security threats, and communication inefficiencies across diverse tactical network deployments

REQUIRED QUALIFICATIONS

• Must possess an active U.S. security clearance, secret or higher
• 5+ years of hands-on experience in tactical networking or related fields
• Understanding of empirical testing criteria leveraging both quantitative and qualitative criteria for trade study and hardware/software analysis.
• Experience applying engineering standards to engineering processes or requirements
• 2-5 years expertise in tactical LOS and BLOS RF systems
• 3+ years experience with ad-hoc mesh networking, secure communication protocols (IPSec/MACSec, etc), software-defined networking, internet protocols (TCP/IP, DNS, etc), and routing protocols
• Experience with commercial SDWAN solutions
• Demonstrated experience collaborating across cross-functional teams.
• Comfortable working with ambiguity, evolving priorities, and challenging problems
• Excellent communication and presentation skills
• Experience with mesh networking radios
• Experience with network modeling and simulation tools and frameworks
• Must be willing to travel for test field events up to 40%
• Experience with network traffic analysis tools and PCAP analysis (e.g., Wireshark, tcpdump, NetworkMiner)
• Proficiency in analyzing network protocols and packet structures to diagnose communication issues in tactical environments

PREFERRED QUALIFICATIONS

• Expertise in these specific tactical ship-to-ship and ship-to-shore comms
  • SatCom
  • VHF + UHF
  • LPI/LPD and anti-jamming
  • MIMO
  • Antenna theory
• Expertise in Cloud Networking
• Expertise in Cybersecurity
• 3+ years experience with programming languages such as Python, C/C++, or Rust for analysis and simulation
• Experience with electronic warfare (EW) technologies
• Experience with spectrum management and deconfliction
• Experience developing custom PCAP analysis tools or scripts for specialized network environments

ABOUT THE TEAM

As a key member of Anduril's recruiting team, you will be responsible for taking hiring requirements, sourcing and screening candidates, tracking/managing them through the interview process, closing hires, and reporting on metrics. To achieve this, you will be given the autonomy and tools to execute on our strategy to build and develop Anduril's world class team. We are looking for someone who can handle high levels of ownership while tackling every aspect of recruiting and is excited to be part of a small team where no task is too big or too small. This role primarily focuses on software recruiting for our Air & Ground Deterrence team, with occasional involvement in hardware recruiting.

WHAT YOU’LL DO

• Consistently source and track a high volume of candidates, while maintaining open lines of communication with stakeholders
• Establish deep trust and partnership with business leaders to help influence talent strategy while executing on hiring deliverables
• Develop a strong understanding of the mission while learning how to effectively pitch the team and opportunity, ultimately closing exceptional technical talent for the organization
• Track and analyze pipeline and performance data to gain insights into areas of improvement
• Build recruiting strategies that contribute to the long-range growth of the company, implementing best practices around referrals and process improvements where needed
• Act as a subject matter expert in prospecting techniques and tools used for information retrieval, data extraction, web-scraping, continuous process improvement, process automation, and candidate management
• Conduct interviews with potential candidates, demonstrating ability to anticipate hiring manager preferences through high interview-to-offer ratios
• Engage passive candidates using LinkedIn Recruiter, Boolean strings, referrals, and SOBO campaigns
• Drive diverse talent into the organization, consistently ensuring a positive candidate experience throughout the entire recruiting process with proactive communication and engagement

CORE REQUIREMENTS

• 5+ years experience sourcing for technical roles & engaging top tier software talent
• Multiple years of experience managing stakeholder relationships, including working directly with Hiring Managers, driving strategic recruiting efforts based on business needs, profile calibration, and updating pipeline progress via reporting
• Strong understanding of the technical skills and experience required for software engineering positions within the business
• Clear and effective communication with candidates to understand motivation, drivers, and fit within the organization
• Experience managing various funnels of candidates and keeping track of their progress throughout the recruitment process
• Working knowledge of recruiting tools like Greenhouse and Gem
• Familiarity with a wide variety of sourcing avenues
• Experience acting in a consultative manner where your guidance has led to improved outcomes, and a positive candidate experience, while earning the respect of your peers and clients
• Ability to work autonomously with little supervision, while staying highly collaborative
• No task is beneath you. You’re a team player and hungry, go-getter that does “whatever it takes” to deliver for your teammates and stakeholders

PREFERRED REQUIREMENTS

• Experience working at both a recruiting agency and fast-paced startup environment
• Experience recruiting for Software Engineer, Robotics Software Engineer, Systems Engineer, Program Manager and Technical Program Manager requisitions
• Experience recruiting for positions in the autonomous vehicle, robotics, or DoD field

ABOUT THE TEAM

As a key member of Anduril's recruiting team, you will be responsible for taking hiring requirements, sourcing and screening candidates, tracking/managing them through the interview process, closing hires, and reporting on metrics. To achieve this, you will be given the autonomy and tools to execute on our strategy to build and develop Anduril's world class team. We are looking for someone who can handle high levels of ownership while tackling every aspect of recruiting and is excited to be part of a small team where no task is too big or too small. This role primarily focuses on software recruiting for our Air & Ground Deterrence team, with occasional involvement in hardware recruiting.

WHAT YOU’LL DO

• Consistently source and track a high volume of candidates, while maintaining open lines of communication with stakeholders
• Establish deep trust and partnership with business leaders to help influence talent strategy while executing on hiring deliverables
• Develop a strong understanding of the mission while learning how to effectively pitch the team and opportunity, ultimately closing exceptional technical talent for the organization
• Track and analyze pipeline and performance data to gain insights into areas of improvement
• Build recruiting strategies that contribute to the long-range growth of the company, implementing best practices around referrals and process improvements where needed
• Act as a subject matter expert in prospecting techniques and tools used for information retrieval, data extraction, web-scraping, continuous process improvement, process automation, and candidate management
• Conduct interviews with potential candidates, demonstrating ability to anticipate hiring manager preferences through high interview-to-offer ratios
• Engage passive candidates using LinkedIn Recruiter, Boolean strings, referrals, and SOBO campaigns
• Drive diverse talent into the organization, consistently ensuring a positive candidate experience throughout the entire recruiting process with proactive communication and engagement

CORE REQUIREMENTS

• 5+ years experience sourcing for technical roles & engaging top tier software talent
• Multiple years of experience managing stakeholder relationships, including working directly with Hiring Managers, driving strategic recruiting efforts based on business needs, profile calibration, and updating pipeline progress via reporting
• Strong understanding of the technical skills and experience required for software engineering positions within the business
• Clear and effective communication with candidates to understand motivation, drivers, and fit within the organization
• Experience managing various funnels of candidates and keeping track of their progress throughout the recruitment process
• Working knowledge of recruiting tools like Greenhouse and Gem
• Familiarity with a wide variety of sourcing avenues
• Experience acting in a consultative manner where your guidance has led to improved outcomes, and a positive candidate experience, while earning the respect of your peers and clients
• Ability to work autonomously with little supervision, while staying highly collaborative
• No task is beneath you. You’re a team player and hungry, go-getter that does “whatever it takes” to deliver for your teammates and stakeholders

PREFERRED REQUIREMENTS

• Experience working at both a recruiting agency and fast-paced startup environment
• Experience recruiting for Software Engineer, Robotics Software Engineer, Systems Engineer, Program Manager and Technical Program Manager requisitions
• Experience recruiting for positions in the autonomous vehicle, robotics, or DoD field

We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.

Anduril’s Tactical Reconnaissance and Strike Division (TRS) is responsible for design and development of Anduril’s fleet of small warfighting and surveillance drones deployed around the world, including Ghost, Anvil, Altius, and Bolt. The guidance, navigation, and control (GNC) team within TRS performs implementation, analysis, test, and validation, modeling & simulation, for GNC software solutions supporting our autonomous drone fleet. Applications include attitude and position control, waypoint and terminal guidance engagements, and navigating contested environments including communication and GPS denied environments. This role will be responsible for building and maintaining the high fidelity 6 Degree of Freedom simulation software utilized with TRS GNC for GNC algorithm development, test, and validation.

ABOUT THE JOB

We are looking for a Modeling & Simulation engineer to join our team. As part of the team, you will have the opportunity to develop, implement and maintain a sufficient fidelity simulations and digital twins of the myriad of different vehicles that Anduril works on. The ideal candidate has experience working on aerospace systems and understands the right fidelity of sub-system and system level modeling required to integrate with the broader flight control and mission autonomy software. The role requires the individual to be proficient in vehicle/sub-system modeling and well-versed in coding practices and software integration practices. If you have a passion for flight and like the idea of building a physics based digital representation of a flying vehicle this is the role for you!

• What You’ll Do

• Develop simulation solutions for 6DOF and Guidance, Navigation and Control algorithm development
• Develop and maintain Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) tests.
• Work closely with the flight software team to define requirements and integrate GNC software
• Characterization work (aero, optics, actuators, IMUs, etc) for both fixed wing and rotorcraft
• Review test data captured from the flight control system, subsystems, and other test instrumentation to verify vehicle performance, evaluate GNC algorithm/controller behavior, or debug incident.
• Develop models required to support functional evaluation of GNC software
• Required Qualifications

• Bachelor’s degree in Robotics, Computer Science, Mechanical/Aerospace Engineering or a related field with exceptional skills in the field of dynamic systems and control
• 8 years professional experience in a Modeling & Simulation for supporting airborne platforms
• Demonstrated proficiency in C++, Matlab, Simulink, Simulink Embedded Coder, and Python
• Extensive experience in modeling and simulation of linear/nonlinear dynamic systems
• Experience in Monte-Carlo simulations and flight test data analysis tools and processes
• Extensive experience in the mathematical modeling and simulation of aerodynamics, rotorcraft dynamics, sensors and actuators.
• Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics
• A passion for defending the Unites States of America and its allies
• Eligible to obtain and maintain an active U.S. Secret security clearance

• Preferred Qualifications

• Master’s Degree or PhD in Robotics, Computer Science, Mechanical/Aerospace Engineering, or a related field with a focus on dynamic systems and control
• Experience with Flight test data processing/sim correlation experience
• Experience with integrating and debugging navigation systems for aerial platforms
• Experience with guidance algorithm development

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

As a Robotics Software Engineer on our TRS team, you'll be at the forefront of cutting-edge autonomous systems development. You'll tackle diverse challenges in autonomy, systems integration, robotics, and networking, making critical engineering decisions that directly impact mission success. Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems. Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your "Whatever It Takes" mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work. This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. 

WHAT YOU'LL DO

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms
• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius
• Optimize performance of existing products, primarily focused on our Altius Drone product line
• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs
• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field
• Contribute to the design and implementation of multi-agent coordination systems for UAVs
• Participate in the full software development lifecycle, from concept and design through testing and deployment
• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

REQUIRED QUALIFICATIONS

• Bachelor's degree in Robotics, Computer Science, or related field
• 3+ years of professional software development experience
• Strong proficiency in C++ or Rust, with experience in Linux development environments
• Demonstrated expertise in data structures, algorithms, concurrency, and code optimization
• Proven experience troubleshooting and analyzing remotely deployed software systems
• Hands-on experience working with and testing electrical and mechanical systems
• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing
• Strong problem-solving skills and a "Whatever It Takes" mindset
• Excellent communication skills, both written and verbal
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willingness to relocate to Seattle, WA

PREFERRED QUALIFICATIONS

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)
• Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls
• Experience with performance optimization and metrics for complex robotic systems
• Proficiency in Python, Rust, and/or Go, in addition to C++
• Hands-on experience programming for embedded systems and physical devices
• Background in multi-agent coordination, particularly with UAVs
• Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)
• Experience with real-time operating systems and distributed computing
• Familiarity with machine learning and AI applications in robotics
• Knowledge of sensor fusion techniques and implementation
• Understanding of aerodynamics and flight dynamics as applied to UAV systems
• Experience with simulation environments for robotics testing and development
• Track record of contributions to open-source robotics projects or relevant publications

ABOUT THE TEAM
Anduril Software Engineers in the Connected Warfare (CW) Division build, deploy, integrate, extend, and scale Anduril's software on hardware systems to deliver mission-critical capabilities to our customers at the tactical edge. As the software engineers closest to customers/end-users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end-to-end delivery of winning capabilities.

As a Senior Software Engineer on the ECC Engineering team, you will contribute to the creation of new products, features, and solutions to address a wide variety of customer problems involving software, hardware, networking, autonomy/robotics, systems integration, and more. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and methodical way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality. You will work on products like the Menace Family of Systems to bring integrated C4 capabilities to the tactical edge.

We are working on cutting edge, complex systems that must deliver critical capability on aggressive timelines to outmatch the pacing threats and empower our customers with commercial style technologies that they can immediately use for defense. We are looking for talented, organized, growth mindset, Software Engineers who appreciate ownership, autonomy, and direct customer engagement when designing, architecting, building and collaborating with our software, hardware, operations, SRE, and business development teams to exceed customer expectations and bring new products and capabilities to market.

WHAT YOU’LL DO

• You will work closely with Product Managers, Business Development, and other engineering teams (internal and external), executing on our SDLC process from concept, development, production and fielding.
• Own areas of the ECC software solution that are deployed to customers
• Build scalable systems
• Write code to improve products and scale the mission capability to more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints
• Travel up to 30% of time to build, test, and deploy capabilities in the real world
• Brief executives (internal and external) and high ranking officials

REQUIRED QUALIFICATIONS 

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 4+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience working with Linux and/or Nix/NixOS.
• Experience building software solutions involving hardware integrations
• Experience building scalable solutions on edge infrastructure
• Ability to quickly understand and navigate complex systems and established code bases
• Passionate about working on critical software that has a real-world impact
• Be data driven and customer outcomes focused
• Experience using AGILE methodologies and execution

PREFERRED QUALIFICATIONS (No minimum requirements, maximum ~5-6 bullet points)

• Computer Science or Computer Engineering or equivalent degrees
• Prior military service/contractor experience working with edge computing and tactical networking
• Experience at technology startups
• TS/SCI active or eligible

ABOUT THE TEAM

The Maritime Application Team sits at the tip of the spear, transforming core platform technology into mission-winning capabilities that deliver a decisive operational edge at sea. We are a specialized software team embedded within the core Lattice Platform, uniquely positioned to accelerate the delivery of mission-critical capabilities for maritime platforms such as the Dive-LD, Dive-XL, Copperhead, and Seabed Sentry. Our role is to take powerful platform primitives—like data management, mission autonomy, simulation, auth, and orchestration—and rapidly forge them into integrated, robust applications for autonomous maritime systems. We act as an incubator for future platform features, ensuring that the solutions we build for today's contracts are the foundation for tomorrow's platform-wide advancements. If you are passionate about building high-impact software that directly supports operators in the field while shaping a next-generation platform, this is your team.

ABOUT THE JOB

As a Software Engineer on the Maritime Application Team, you will be the architect and builder of the software that our maritime operators use every day. You will design and implement the user interfaces, microservices, and data integrations that transform our autonomous underwater vehicles from powerful hardware into intelligent, mission-capable assets. This role requires a product-minded engineer who can operate with ambiguous requirements and translate complex operational needs into elegant, reliable, and scalable software solutions, bridging the gap between core platform infrastructure and real-world maritime challenges.

WHAT YOU'LL DO

• Design, develop, and deploy full-stack applications and services for maritime command and control, including our Lattice UI.
• Build robust, scalable back-end services (e.g., in Go, Rust, Python, C++) to manage mission planning, vehicle tasking, and real-time data processing.
• Develop intuitive and performant front-end interfaces (e.g., in React/TypeScript) that provide operators with at-a-glance situational awareness.
• Integrate specialized maritime data sources, such as electronic navigational charts (ENCs), bathymetry, and acoustic sensor data, by leveraging and extending core platform primitives.
• Collaborate closely with product managers, operators, and others cross functionally in the Software Platform and the Maritime Division to rapidly iterate on features and deliver tangible value.
• Champion best practices in software architecture, code quality, and testing to ensure our systems are reliable in challenging operational environments.
• Mentor other engineers on the team and contribute to the technical strategy for the maritime domain.

REQUIRED QUALIFICATIONS

• 3-5+ years of professional software development experience, with a proven track record of shipping complex, full-stack applications.
• Strong proficiency in one or more modern programming languages such as Go, Rust, Python, or C++, and a willingness to learn new ones.
• Experience building user-facing applications with modern web technologies (e.g., React, TypeScript, gRPC).
• A deep understanding of distributed systems, API design, and data modeling principles.
• Ability to architect solutions for scale, performance, and reliability.
• A bias towards rapid delivery and iteration, extreme ownership, and strong opinions with low ego.
• Must be a U.S. Citizen and eligible to obtain and maintain a U.S. Government clearance.

PREFERRED QUALIFICATIONS

• Experience with Go and/or Rust in a production environment.
• Experience building software for robotics, autonomous systems, or geospatial applications.
• Familiarity with cloud-native technologies (e.g., Kubernetes, Docker) and infrastructure-as-code (e.g., Terraform).
• Experience working with real-time data streams, such as sensor data or vehicle telemetry.
• A passion for creating exceptional user experiences and a keen eye for product design.

ABOUT THE TEAM

Air Dominance & Strike (AD&S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD&S Vehicle Software team is responsible for the software running on these systems. Our software engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry. We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD&S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Bachelor's degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or related field, or equivalent experience
• 4+ years of experience in Software testing or related technical experience
• Experience with requirements based verification and implementation of verification strategies with a strong emphasis on automated tests
• Have extensive knowledge of software development, processes, and verification tools, such as C/C++, Python
• Track record of architecting software test plans in the Aerospace and Defense space
• In-depth knowledge of requirements management, risk based testing approaches, defect tracking, and configuration control
• Strong Knowledge of Software Testing Principles And Methodologies

PREFERRED QUALIFICATIONS

• Experience standing up automated hardware-in-the-loop testing infrastructure
• Functional knowledge of mission autonomy for collaborative platforms, including crewed/uncrewed teaming and formation flight
• Knowledge of data fusion from multiple sensor and track sources, with understanding of distributed fusion principles

ABOUT THE TEAM

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

WHAT YOU'LL DO

• Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, motion deconfliction and contingency management of fast mover air vehicles.
• Own major feature development and rollout of large, complex features for our products - recent examples include developing terminal-phase autonomy for various air vehicles and developing a test plan on live surrogates.
• Work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (fighter pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience working with and testing electrical and mechanical systems
• 3+ Years experience with C++ or Rust experience in a Linux development environment

PREFERRED QUALIFICATIONS

• MS or PhD
• Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics.
• Python, Rust, and/or Go experience
• Experience programming for embedded and physical devices
• Multi-agent coordination of UAVs
• Complex frame transformation problems, such as target localization or multi degree of freedom robotic arms

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts.

Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.

Qualifications

• Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.
• Experience translating methods between areas of application is highly valued.
• LLM experience is valuable, but not necessary.
• Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Job Summary

As an Aerospace Algorithms Engineer at MORSE you will be working on a broad set of applications developing novel physics, statistical, and mathematical models for use in mission planning tools used by military personnel and first responders. MORSE is looking for engineers with a strong background in physics, aerospace, robotics, math, and statistics who are also able to develop their algorithms in software to function efficiently and be readily testable.

Responsibilities:

• Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing.

• Process and analyze raw data

• Simulate and validate algorithmic performance using dynamic systems.

• Present technical work through white papers, analysis test reports, and oral presentations.

• Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.

Skills and Requirements

The candidate must have the ambition to own mission planning algorithms for their entire lifecycle: conception of the solution, development, documentation, deployment in software, and testing. Most importantly, the candidate must be passionate about developing solutions that are fieldable!

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• MS or PhD in Aerospace Engineering, Robotics, Physics or other relevant field.

• Proficiency in Python algorithm and software development practices.

• Strong background in physics, math, and statistics.

• Experience with developing algorithms and simulations.

• Experience simulating dynamic systems to test and validate algorithmic performance

• Experience describing systems via equations of motion derived from first-principle engineering analysis

• Experience presenting technical work through white papers, analysis test reports, and oral presentations.

• 5+ years of experience

Job Summary

As an Aerospace Algorithms Engineer at MORSE you will be working on a broad set of applications developing novel physics, statistical, and mathematical models for use in mission planning tools used by military personnel and first responders. MORSE is looking for engineers with a strong background in physics, aerospace, robotics, math, and statistics who are also able to develop their algorithms in software to function efficiently and be readily testable.

Responsibilities:

• Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing.

• Process and analyze raw data

• Simulate and validate algorithmic performance using dynamic systems.

• Present technical work through white papers, analysis test reports, and oral presentations.

• Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.

Skills and Requirements

The candidate must have the ambition to own mission planning algorithms for their entire lifecycle: conception of the solution, development, documentation, deployment in software, and testing. Most importantly, the candidate must be passionate about developing solutions that are fieldable!

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• MS or PhD in Aerospace Engineering, Robotics, Physics or other relevant field.

• Proficiency in Python algorithm and software development practices.

• Strong background in physics, math, and statistics.

• Experience with developing algorithms and simulations.

• Experience simulating dynamic systems to test and validate algorithmic performance

• Experience describing systems via equations of motion derived from first-principle engineering analysis

• Experience presenting technical work through white papers, analysis test reports, and oral presentations.

• 5+ years of experience

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

The Allen Institute for AI (Ai2) is hiring a Senior Platform Engineer to build the foundational architecture behind AI research agents that explore and reason over scholarly literature. You'll design the systems that define how agents, tools, and services interact, creating SDKs, APIs, and execution frameworks that enable researchers to build, evaluate, and scale intelligent systems. You'll contribute to the agent architecture, build infrastructure for sandboxed execution and benchmarking, and create evaluation frameworks that measure component  performance. You're a seasoned engineer who thrives in greenfield environments, excels at building robust developer-facing infrastructure, and is energized by making complex distributed systems feel simple.

Who We Are: 

The Agentic Applications team builds open, production-grade AI systems that power scientific discovery. We focus on developing intelligent agents that help researchers explore literature, synthesize knowledge, and accelerate their work across real-world scientific use cases. The team combines strong engineering practices with close collaboration across Ai2's product and research orgs to deliver tools used by millions of researchers and developers worldwide.

Your Next Challenge:

The essential functions include, but are not limited to the following:

• Design and extend APIs that expose structured scholarly data to academic researchers and AI agent workflows
• Contribute to dashboards and tools for evaluating data quality and model precision
• Scale our systems in a cost-effective and sustainable manner and be a driving force behind continuous improvements in reliability and automation
• Improve team velocity through contributions to software design, feature development, platform and framework enhancements, capacity planning, and deployment tooling
• Help set and maintain best practices in how we measure, monitor, and respond to system availability, latency, and general application health
• Engage in the entire software development lifecycle, from ideation and design to implementation and testing to deployment and operational support, with a strong sense of ownership for results
• Collaborate across engineering and research teams to ensure maintainability, test coverage, and robust deployment
• Communicate effectively across engineering, product, and research teams to align priorities and drive projects to completion

What You’ll Need:

• Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education
• Strong Python engineering skills, with experience building production services and developer-facing tools
• Experience with cloud infrastructure (AWS, GCP, or similar), containerization, and deployment automation
• Solid understanding of integrating AI-powered capabilities into applications, including agent workflows, memory management, and external tool integrations
• Experience with analytics and observability tools like Datadog or similar for monitoring performance, system health, and reliability
• Familiarity with designing APIs, SDKs, or frameworks that other engineers build on top of
• Strong communication skills and a sense of ownership for results 

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer 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. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:  

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

The Allen Institute for AI (Ai2) is hiring a Senior Data Engineer to build the data infrastructure behind AI research agents that explore and reason over scholarly literature. You'll work on the Semantic Scholar corpus, expanding what it covers and improving the quality of what’s already there, and create the APIs and tooling that these agents rely on at scale.

This role sits at the intersection of data engineering and applied ML. You'll own pipelines, design schemas, and ship production services, but you'll also apply practical ML techniques (entity resolution, text classification, embedding-based similarity) to improve data quality and enrich metadata at scale, directly shaping what the agents can do. We're looking for a strong engineer who is comfortable across that full range.

Who We Are: 

The Agentic Applications team builds open, production-grade systems that power scientific discovery and large-scale AI research. We focus on creating high-quality structured datasets, integrating diverse content types, and enabling downstream applications across search, citation analysis, and model training. The team combines strong engineering practices with close collaboration across Ai2’s product and research orgs to deliver tools and infrastructure used by millions of researchers and developers worldwide.

Your Next Challenge:

• Improve the coverage and quality of the Semantic Scholar corpus across academic papers, patents, and new domain-specific datasets
• Build and maintain scalable data pipelines for corpus integration, citation resolution, and metadata enrichment
• Develop and deploy ML models for entity disambiguation, author linking, and topic classification
• Design and extend APIs that expose structured scholarly data to academic researchers and AI agent workflows
• Contribute to dashboards and tools for evaluating data quality and model precision
• Collaborate across engineering and research teams to ensure maintainability, test coverage, and robust deployment

What You’ll Need:

Required:

• Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education.
• Strong Python engineering skills, especially for building and maintaining data pipelines
• Experience with SQL and schema design in production settings (PostgreSQL preferred)
• Familiarity with ML workflows (training classifiers, tuning models, deploying for inference), particularly for large-scale or ambiguous structured datasets
• Comfortable working with structured data formats (XML/JSON/Parquet) and writing ETL code
• Experience with workflow orchestration tools (Airflow or similar) and cloud infrastructure (AWS, S3, Docker)
• Strong communicator and a strong sense of ownership for results

Preferred:

• Experience with author disambiguation, entity resolution, or record linkage problems
• Experience applying vector-based similarity or topic modeling techniques to real-world corpora at scale
• Exposure to citation networks or scholarly data systems (e.g., arXiv, OpenAlex, USPTO)
• Familiarity with building APIs or data services consumed by automated or agent-based workflows

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer 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. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:  

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

You are a seasoned full-stack engineer who thrives in greenfield environments where you have broad scope and the  opportunity to wear multiple hats. You excel in building impactful, AI-powered solutions and take pride in delivering intuitive, high-performance user experiences. In this role, you'll work closely with UX designers, AI/ML experts, and research scientists, both internally and at partner institutions, to create seamless interfaces that empower users to  interact effectively with our AI systems. You're energized by the opportunity to collaborate directly with researchers  to translate their needs into production applications that advance real scientific discovery.

Who We Are: 

The Agentic Applications team builds open, production-grade AI systems that power scientific discovery. We focus on developing intelligent agents that help researchers explore literature, synthesize knowledge, and accelerate their work across real-world scientific use cases. The team combines strong engineering practices with close collaboration across Ai2's product and research orgs to deliver tools used by millions of researchers and developers worldwide.

Your Next Challenge:

The essential functions include, but are not limited to the following:

• Work closely with UX designers, product managers, and research scientists to develop rich UI experiences using React and robust backend services in Python
• Engage in the entire software development lifecycle, from ideation and design to implementation and testing to deployment and operational support, with a strong sense of ownership for results
• Scale our systems in a cost-effective and sustainable manner and be a driving force behind continuous improvements in reliability and automation
• Improve team velocity through contributions to software design, feature development, platform and framework enhancements, capacity planning, and deployment tooling
• Help set and maintain best practices in how we measure, monitor, and respond to system availability, latency, and general application health
• Communicate effectively across engineering, product, and research teams to align priorities and drive projects to completion
• Mentor less-senior engineers on the team in both technical and non-technical skills

What You’ll Need:

• Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education
• Professional experience with web development using JavaScript, HTML, and CSS
• Strong Python engineering skills
• Proficiency with front-end frameworks such as React
• Experience with AWS, Google Cloud, or similar cloud platforms
• Experience with analytics and observability tools like Heap, Datadog, or similar for monitoring performance, system health, and user interactions
• Solid understanding of integrating AI-powered capabilities into applications, including prompt engineering, memory management, agent workflows, and external tool integrations
• Strong communication skills and a sense of ownership for results

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer 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. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:  

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

As a Sales Operations Analyst at Carbon Robotics, you’ll be the operational and analytical engine behind our commercial team. You’ll own our HubSpot CRM, build the dashboards and reports leadership relies on to run the business, keep our pipeline clean and trustworthy, and turn data into the insights that help us sell faster and smarter.

This role reports directly to the CFO and is based in-person at our Seattle headquarters. You’ll have unique visibility and influence for an early-career role as you work with our CEO and other senior leaders. The ceiling is as high as you make it.

What you’ll do:

• Own HubSpot as our system of record — keep data accurate, clean, and trustworthy, and design scalable processes
• Build and maintain sales dashboards, reports, and forecasts that give the CEO, CFO and sales leadership a clear, real-time view of pipeline health, deal velocity, and revenue performance
• Run weekly pipeline and forecast reviews with the sales team. Spot risk, flag stalled deals, and push for clean handoffs across the funnel
• Analyze sales and commercial data to surface what’s working and what’s not: win rates, cycle time, territory performance, rep productivity, conversion by stage and turn findings into concrete recommendations
• Improve the sales process end-to-end, from lead routing and opportunity stages to deal desk, quoting, and contract handoff. If it’s broken or slow, you fix it
• Support quota setting, territory planning, and sales compensation calculations
• Onboard new reps onto HubSpot and our sales process, and write the documentation so we don’t re-teach the same thing twice
• Partner with marketing, finance, and field operations on anything that touches the revenue motion

Knowledge, Skills, and Abilities for Success:

• 1–3 years of experience in sales operations, revenue operations, business operations, sales analytics or a similar analytical role
• Hands-on experience with a CRM. HubSpot strongly preferred; Salesforce or similar is fine if you can pick up HubSpot fast
• Strong Excel and Google Sheets skills. Comfortable building models, pivot tables, and clean reports from messy data
• A “motor” — self-starter who takes ownership, moves fast, isn’t afraid to take risks or try new things, and owns the outcome
• Excellent communication skills. You can explain what the numbers mean to a non-analyst and push back when you disagree
• Bachelor’s degree or equivalent practical experience
• Based in the Seattle area and willing to work full-time from our HQ

Nice to Have:

• Advanced spreadsheet skills. Fluent with pivot tables, lookups, and charts/graphs that make messy data easy to understand at a glance
• SQL or basic scripting (Python, Apps Script) for pulling and transforming data
• Experience at a hardware, capital equipment, or B2B company with long, complex sales cycles
• Experience building or improving a sales process from scratch

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $118,800 - $178,200, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

You are a hands-on robotics engineer who thrives at the intersection of theory and system-building, equally comfortable developing low-level controllers as you are deploying learned policies on real hardware. You have experience working across the full robotics stack, from reasoning and perception to control and physical execution, and you take a systems-oriented view of complex robotic platforms. Whether working with real robots or high-fidelity simulators, you bring strong debugging instincts, fluency in Python, and a practical understanding of modern robotics and simulation ecosystems. You care about making systems actually work, not just in isolation, but end-to-end under real-world constraints.

In this role, you will collaborate closely with researchers on high-impact robot learning projects, translating cutting-edge algorithms into robust, deployable behavior. You will help build and iterate on sim-to-real pipelines, develop control and experimentation infrastructure, and enable large-scale learning through GPU-accelerated simulation. This is an environment where engineering rigor meets research ambition: you’ll have the opportunity to shape core system capabilities, influence experimental design, and contribute to projects that push the boundaries of what robots can learn and do in the real world.

Who We Are: 

Ai2’s Robotics team is led by Dieter Fox. We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots. Following a longstanding tradition at Ai2, we are committed to fully open-source research and work toward application domains with a positive impact on society. 

We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large scale training in simulated environments, sim-to-real transfer, robot foundation models, and skill learning. 

We regularly publish in high-profile conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (e.g., NeurIPS, ICLR, ICML). 

We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.

Your Next Challenge:

Our needs include the following competencies. If your experience and interests are a match for some but not all of these areas, we still encourage you to apply.

• Develop and maintain complete control stacks for robotic systems, including low level control, motion planning,  and integration of learned policies.
• Develop and maintain the sim-to-real pipeline, including system identification, understanding simulation models, and deploying learned policies from simulation to real hardware.
• Lead robot set-up across manipulation and mobile hardware platforms, including integration, calibration, and system tuning.
• Diagnose and resolve complex system behaviors across hardware, software, and runtime.
• Collaborate closely with researchers to translate algorithms into reliable, real-world robotic behavior.
• Work with modern GPU-accelerated simulation frameworks to enable large-scale experimentation.

What You’ll Need:

Minimum Qualifications: 

• Masters + 3 years experience or PhD in robotics or relevant field. Exceptional candidates with a  bachelor’s degree and 3+ years of industry experience are also welcome to apply.
• Proficiency in Python and modern robotics / simulation ecosystems.
• Strong depth of experience working with either physical robots or robotic simulation.
• Strong development and debugging skills across the full robotics stack (perception → planning or inference → control → hardware).
• Clear communication and ability to collaborate effectively with research teams.
• A structured, systems-oriented approach to building and improving complex robotic infrastructure. 

Preferred Qualifications: 

• Experience implementing and tuning real-time control systems along with a strong foundation in control, dynamics, and system identification.
• Experience translating control and learning-based methods from simulation to real robotic systems.
• Familiarity with large-scale simulation and reinforcement learning pipelines.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer 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. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $167,030 - $260,570, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are: 

Research Scientists in the Ai2 Robotics Team will have the unique opportunity to develop and investigate core research problems in foundation models for robotics, and contribute to the development of completely open methods, data sets, benchmarks, and models. They will experiment with large-scale simulation tools and robots in the real world.  

Research Scientists will work on multiple exciting research projects in the above areas but can also contribute and engage in a variety of other activities critical to our research and mission. These include opportunities to lead projects, mentor interns and pre-doctoral candidates, author and present scientific papers, and collaborate with researchers at other organizations including universities. 

At Ai2, you will be working with world-class AI and robotics researchers and talented software engineers. You will perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.

Who We Are: 

Ai2’s Robotics team is led by Dieter Fox. We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots. Following a longstanding tradition at Ai2, we are committed to fully open-source research and work toward application domains with a positive impact on society. 

We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large scale training in simulated environments, sim-to-real transfer, robot foundation models, and skill learning. 

We regularly publish in high-profile conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (e.g., NeurIPS, ICLR, ICML). 

We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.

Your Next Challenge: 

At Ai2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.  

All scientists have the opportunity to mentor interns (and other students)and will participate directly in Ai2's groundbreaking work. There are no restrictions on publications.  

What You’ll Need: 

• A strong foundation (typically PhD level) in one or more of the following areas: robot manipulation, planning and control, RL and imitation learning, real world robot systems, simulation environments and sim2real, and world models and foundation models.  
• A strong publication record in AI-related areas.  Example venues include CoRL, ICRA, RSS, CVPR, ICCV, ECCV, NeurIPS, ICLR, etc. Contributions to research communities (e.g. workshop organization, tutorials) are a plus. 
• Strong software engineering skills.  Experience working with real robot systems and/or with deep learning frameworks.  

• (Optional) Research experience in related areas like large-scale multi-node training, training dynamics, efficiency, data curation, and multimodal model debugging, post-training methods, among others. 
• (Optional) Contributions to open-source research libraries.

Physical Demands and Work Environment: 

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. 

• Must be able to remain in a stationary position for long periods of time.  
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.  
• The ability to observe details at close range. 
• Can work under deadlines. 

A Little More About Ai2: 

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.  

This employer 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. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. 

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org  

Benefits:  

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

As a Software Engineering Manager (Frontend/Mobile) at Carbon Robotics, you’ll lead the team building the command center for the future of agriculture. You’ll sit at the intersection of AI, robotics, and user experience, translating deep technical complexity into intuitive, reliable tools that farmers depend on every day.

Working closely with world-class mechanical, electrical, and software engineers, you’ll guide the development of high-performance web platforms and rugged, mission-critical mobile applications. Your team’s work will be the primary interface between humans and our cutting-edge robotic systems operating in the real world.

This is a hands-on leadership role. You won’t just set direction, you’ll actively contribute to architecture, code, and execution. And when needed, you’ll go directly to the field to ensure our products perform where it matters most: on the farm.

What you’ll do:

• Lead and grow a team building web and mobile applications that interface with both cloud services and robotic systems
• Contribute directly to system architecture and code; this is a deeply technical, hands-on role
• Partner cross-functionally with product managers and mechanical, electrical, and backend engineering teams
• Drive execution across the full software development lifecycle: planning, design, implementation, testing, and deployment
• Set priorities, allocate resources, and ensure projects are delivered on time and at a high standard
• Resolve technical and organizational challenges across teams
• Mentor engineers and elevate the team’s technical capabilities and output
• Communicate progress, risks, and outcomes clearly to stakeholders across the company
• Foster a culture of ownership, fast iteration, and high accountability in a startup environment
• Participate in field testing, including on-site farm visits, to validate real-world performance
• Build an in office culture (5 days/week)

Knowledge, Skills, and Abilities for Success:

• Experience managing frontend (TypeScript, React) and/or mobile (Flutter) engineering teams
• Ability to operate as a Lead Engineer in your area of expertise
• Strong understanding of deploying and maintaining web and mobile applications in systems that integrate with backend services and hardware/robotics
• Excellent communication skills and comfort working across multidisciplinary teams
• A leadership style that thrives in an in-office, highly collaborative environment
• Willingness to spend time in the field
• Bachelor’s degree in Computer Science or a related field (or equivalent experience)

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Compensation: $159,650

Who You Are:

Are you passionate about taking artificial intelligence to the next level, to solve problems that require modeling, reasoning, and explanation? We are looking for talented researchers interested in applying their skills towards the next generation of intelligent systems, and pursuing our mission of AI for the common good.

The Young Investigator position:

• Duration: 1-3 years
• Start date: Flexible
• Candidates: Are within one year of completing their PhD, or already have a PhD
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an Ai2 project while pursuing an independent research agenda.

Who We Are: 

Ai2's Robotics team is led by Dieter Fox. We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots. Following a longstanding tradition at Ai2, we are committed to fully open-source research and work toward application domains with a positive impact on society.

We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large scale training in simulated environments, sim-to-real transfer, robot foundation models, and skill learning.

As a Predoctoral Young Investigator on the Robotics team, you will have the opportunity to work in a variety of research areas including:

• Robot foundation models – Investigate the scaling and generalization properties of foundation models for robotics, and contribute to developing broadly competent robots that can operate in the real world.
• Manipulation and skill learning – Develop agents that manipulate objects, follow instructions, and acquire new skills across diverse tasks, in both simulation and on real robot hardware.
• Simulation and sim-to-real – Build and leverage scalable, GPU-accelerated simulation environments for large-scale training, and develop pipelines that transfer learned policies reliably to real-world robots.
• Open source research – Make substantial contributions to the fully open methods, datasets, benchmarks, and tools that enable rigorous, reproducible, and distributed experimentation.

We regularly publish in high-profile conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (e.g., NeurIPS, ICLR, ICML).

We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away.

Your Next Challenge:

The essential functions include, but are not limited to the following:

• Dedicated Ai2 mentor: Mentorship in research, grant writing, and more.
• 50% collaborative work on an Ai2 project + UW projects.
• 50% work on your own projects.

What You’ll Need:

• Are within one year of completing their PhD, or already have a PhD.
• Young Investigator applicants should have a strong foundation (PhD level) in one or more of the research areas listed above. 
• We look favorably upon extensive work experience and publishing peer reviewed work at top scientific venues in our field including RSS, CoRL, ICRA, NeurIPS, CVPR, ECCV, ICCV, etc.
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an Ai2 project while pursuing an independent research agenda.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer 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. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

Your Impact

We are seeking multiple highly skilled Full-Stack members of Technical Staff (MTS) to join our CoreAI organization, driving end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical and Robotics platforms.

This role goes beyond pure research. You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. You will work on cutting-edge applications spanning computer vision, NLU, multimodal AI (MLLMs), and GenAI, enabling intelligent perception, reasoning, and action in mission-critical environments.

As a senior technical leader, you will partner closely with research scientists, machine learning engineers, hardware, firmware, and product teams to translate advanced algorithms into robust, production-ready systems that operate reliably at scale.

Why This Role

You will have the opportunity to own and shape end-to-end AI systems that operate in real-world environments, bridging the gap between cutting-edge research and impactful production deployment. This role is ideal for engineers who thrive at the intersection of AI, systems, and product, and want to build scalable, high-impact solutions across cloud and edge.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products.
• Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making.
• Develop and deploy models across cloud and edge environments, including resource-constrained devices.
• Architect and optimize full-stack AI pipelines, including:
• Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems.
• Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems.
• Optimize solutions for hardware-specific acceleration (GPU, NPU, DSP) and edge deployment.
• Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety.
• Lead technical direction for complex, ambiguous problems and influence system architecture across teams.
• Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy.

Basic Qualifications

• Master’s, or PhD in Computer Science, Electrical Engineering, or related field
• 8+ years (L8) or 10+ years (L9) of industry experience building production systems
• Strong programming skills in Python/C++ and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Proven experience delivering end-to-end systems from concept to production
• Deep expertise in one or more areas:
• Experience building and scaling distributed systems or cloud-based ML pipelines
• Experience optimizing models for latency, cost, and deployment constraints

Preferred Qualifications

• Experience deploying AI both on Cloud (AWS, AzureML), edge devices (e.g., mobile, embedded systems, robotics platforms on Qualcomm, NVIDIA, Intel)
• Familiarity with hardware acceleration frameworks (TensorRT, ONNX, SNPE, etc.)
• Experience with real-time systems and streaming data pipelines
• Knowledge of multimodal data processing (vision, audio, text, sensor fusion)
• Experience with AWS or other cloud platforms for large-scale inference and training
• Strong system design and architecture skills across cloud ↔ edge environments
• Track record of technical leadership, mentoring, and driving cross-team initiatives
• Experience in privacy-preserving AI, security, or safety-critical systems

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

As a Sr. Vehicle Controls Engineer at Carbon Robotics, you will be instrumental in designing and implementing control algorithms and software that ensure the robust, precise, and safe motion of our AI and robotics products. You will work cross-functionally with software, mechanical, electrical, and systems integration peers to build AI and robotics products. You will play a crucial role in designing, developing, and maintaining embedded software systems for various electronic devices, and will do whatever it takes—which will include going to the farm—to ensure our customers have reliable and safe products.

What You’ll Do:

• Build control-oriented vehicle models and implement model-based algorithms for electric drivetrains and chassis systems.
• Develop high-performance control systems using Matlab/Simulink and deploy them to embedded vehicle systems
• Partner with hardware and mechanical teams to align sensing and actuation with target vehicle motion attributes.
• Root-cause low-level control issues and tune loops to maximize system precision, safety, and performance.
• Calibrate and debug algorithms through SIL/HIL simulations and hands-on field testing.
• Drive innovation in agricultural robotics through strategic project planning and rapid, iterative problem-solving.

Knowledge, Skills and Abilities for Success:

• Proven experience in control systems, encompassing ground-up design, analysis, implementation, testing, and debugging in real-world applications.
• Solid foundation in first principles linear systems analysis and state-estimation.
• Expertise in designing and implementing reliable and performant control systems.
• Proficiency in software development using C/C++
• Understanding of embedded systems architecture, including microcontrollers, sensors, and communication interfaces, with specific experience with CAN in embedded vehicle systems.
• Demonstrated solid experience with MATLAB/Simulink for system modeling and model-based controls development.
• Demonstrated ability to collaborate cross-functionally, work hands-on, and successfully execute open-ended projects in a fast-paced environment.
• Hands-on experience with electric vehicle architecture, including high-voltage (HV) batteries, power distribution systems, and motor inverters
• Degree in Mechanical Engineering, Electrical Engineering, Robotics, or equivalent experience.
• Willing to travel up to 25% of the time.

Nice to Haves

• Electric vehicle or off-highway vehicle system experience.
• Electromechanical prototyping
• Functional safety experience and working knowledge of safety standards like ISO 26262.
• Knowledge and experience with hydraulic systems & controls

Qualified applicants will receive a short survey after applying to help the team learn more about you.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Compensation Range: $113,300

Who You Are:

Ai2’s Robotics team seeks a creative, early career Predoctoral Young Investigator who has a strong interest in language-model based artificial intelligence and natural language processing. Predoctoral Young Investigator (PYI) candidates have graduated with a bachelor’s or master’s degree in a relevant field and are preparing to enter a PhD program in the next 1-3 years. We also welcome applications from candidates already enrolled in a PhD program who wish to align their work with Ai2’s endeavors, and we are happy to work on a case-by-case basis with regards to work arrangements if there is a mutual fit.

The Predoctoral Young Investigator position:

• Duration: 1-3 years
• Start date: Flexible

Candidates: PYI Program candidates have graduated with a bachelor’s or master’s degree in a relevant field and are preparing to enter a PhD program in the next 1-2 years. We also welcome applications from candidates already enrolled in a PhD program who wish to align their work with Ai2’s endeavors, and we are happy to work on a case-by-case basis with regard to work arrangements if there is a mutual fit.

Who We Are: 

Ai2's Robotics team is led by Dieter Fox. We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots. Following a longstanding tradition at Ai2, we are committed to fully open-source research and work toward application domains with a positive impact on society.

We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large scale training in simulated environments, sim-to-real transfer, robot foundation models, and skill learning.

As a Predoctoral Young Investigator on the Robotics team, you will have the opportunity to work in a variety of research areas including:

• Robot foundation models – Investigate the scaling and generalization properties of foundation models for robotics, and contribute to developing broadly competent robots that can operate in the real world.
• Manipulation and skill learning – Develop agents that manipulate objects, follow instructions, and acquire new skills across diverse tasks, in both simulation and on real robot hardware.
• Simulation and sim-to-real – Build and leverage scalable, GPU-accelerated simulation environments for large-scale training, and develop pipelines that transfer learned policies reliably to real-world robots.
• Open source research – Make substantial contributions to the fully open methods, datasets, benchmarks, and tools that enable rigorous, reproducible, and distributed experimentation.

We regularly publish in high-profile conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (e.g., NeurIPS, ICLR, ICML).

We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away.

Your Next Challenge:

The essential functions include, but are not limited to the following:

The Allen AI Predoctoral Young Investigator offers predoctoral candidates the opportunity to prepare for graduate-level research through partnership with strong mentors, participation in cutting edge research, and co-authorship of papers at top venues. This program aims to position candidates for successful entry into a top graduate program. For potential candidates who are already enrolled in graduate studies, this program offers the opportunity to work with researchers at Ai2 on collaborative projects for the benefit of both Ai2’s initiatives and your thesis work.

• Gain strong research experience through direct collaboration with Ai2 researchers.
• Co-author papers with Ai2 researchers and get published in top venues.
• Learn about and leverage Ai2’s data, engineering infrastructure, and research tools.
• Gain industry experience in a supportive, agile, mission-driven environment.
• No grant writing, teaching, or administrative responsibilities required.

At Ai2, we value the importance of taking the next step in your research career - getting your PhD.  When visiting schools to decide on your PhD program, you will not be required to use your accrued Vacation and Personal Time to travel and/or conduct school visits.

What You’ll Need:

• A bachelor’s or master’s degree in a relevant field with a desire to enter a PhD program in the next 1-3 years, or currently enrolled in a related PhD program.  

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer 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. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
  

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

We are seeking a dynamic AI/Robotics Product Manager to drive the integration of cutting-edge technologies and transform them into customer-centric solutions. This role will play a pivotal part in defining safety, usability, and performance metrics, while collaborating with enterprise clients to refine robotic and agentic deployments.

Responsibilities:

• Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
• Define safety, usability, and performance metrics for the engineering teams.
• Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
• Lead cross-functional teams to ensure successful product delivery.
• Develop and maintain a product roadmap that aligns with strategic business goals.

Required Skills:

• Technical background in AI, computer science, or engineering.
• Proven experience shipping complex hardware or deep-tech software products.
• Exceptional ability to communicate complex concepts to both engineers and stakeholders.
• Strong analytical skills and a data-driven decision-making approach.

We are seeking a talented Human-Robot Interaction Specialist. In this role, you will develop and implement cutting-edge technologies that enable seamless and intuitive interactions between humans and robots. Your work will enhance the capabilities of robots, ensuring they can navigate and communicate effectively with users in various environments.

Responsibilities:

• Develop intent-recognition models using gaze, gesture, and voice data.
• Program socially aware navigation algorithms that respect human personal space.
• Design the visual and auditory feedback systems for the robot's user interface.

Required Skills:

• Background in Human-Computer Interaction (HCI) or cognitive science applied to robotics.
• Experience running user studies and testing interaction paradigms.
• Skills in rapid prototyping of AI-driven voice and visual interfaces.

As a Mechatronics Specialist/Engineer, you will play a pivotal role in designing and optimizing state-of-the-art electromechanical systems. Your expertise will drive the innovation of our motor designs and control systems, enhancing efficiency and performance.

Responsibilities:

• Specify, test, and tune BLDC motors, harmonic drives, and customized gearboxes.
• Design motor control firmware (FOC) for maximum efficiency and torque density.
• Collaborate with mechanical engineers on joint design and thermal management.

Required Skills:

• Deep understanding of electromechanical systems and motor physics.
• Experience writing firmware in C/C++ for microcontrollers.
• Hands-on experience with industrial communication protocols (EtherCAT, CAN bus).

As a Robotics Software Engineer, you will be at the forefront of designing advanced algorithms and systems to optimize the efficiency of our robotic fleet. Your work will be critical in ensuring seamless communication and operation within cutting-edge automation technologies.

Responsibilities:

• Design multi-agent pathfinding (MAPF) algorithms to prevent fleet deadlocks.
• Build low-latency communication protocols for Robot-to-Cloud and Robot-to-Robot data exchange.
• Develop cloud dashboards for fleet monitoring and teleoperation handoffs.

Required Skills:

• Expertise in distributed systems and IoT protocols (MQTT, WebRTC, DDS).
• Experience with fleet management or warehouse automation software.
• Strong background in operations research and graph algorithms.

We are seeking a skilled SLAM Architect to drive the development of advanced autonomous navigation systems. This role involves creating innovative solutions for Visual-Inertial SLAM, dynamic obstacle avoidance, and path planning to enhance our robotic platforms.

Responsibilities:

• Develop robust Visual-Inertial SLAM (Simultaneous Localization and Mapping) pipelines.
• Implement dynamic obstacle avoidance and predictive path planning.
• Optimize algorithms for low-compute edge deployment on the robot.

Qualifications:

• Advanced knowledge of state estimation, Kalman filters, and factor graphs.
• Experience with ROS2/Nav2 and point cloud processing (PCL).
• Proven track record of deploying autonomous navigation in real-world settings.

We are seeking a skilled Tactile Sensing & Dexterous Manipulation Engineer (Robotics) to advance the capabilities of high-resolution tactile sensors and dexterous robotic systems. The successful candidate will work on cutting-edge projects to enhance robotic perception and manipulation, contributing to innovative solutions in the field of robotics.

Responsibilities:

• Process data from high-resolution tactile sensors and force-torque arrays.
• Implement slip-detection and compliant control algorithms.
• Train multi-fingered grasping policies for unknown objects.
• Collaborate with cross-functional teams to integrate tactile sensing solutions into robotic platforms.
• Conduct experiments to validate the performance of tactile sensing and robotic manipulation systems.

Qualifications:

• Deep knowledge of contact mechanics and robotic grasping.
• Experience with tactile sensors (e.g., GelSight, BioTac).
• Background in soft robotics or dexterous manipulation.
• Proficiency in programming languages such as Python or C++.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication and teamwork abilities.

We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting-edge research, designing models and experiments that advance the field of robotics through deep learning and zero-shot generalization.

Responsibilities:

• Train foundation models for robotics, utilizing architectures similar to RT-X.
• Align text-based reasoning processes with low-level robotic control policies.
• Design and conduct experiments to evaluate zero-shot generalization in robotic systems.
• Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
• Document and present research findings at internal and external conferences.

Qualifications:

• PhD or equivalent research experience in Deep Learning and Robotics.
• Proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS.
• Practical experience with imitation learning and behavior cloning techniques.
• Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with cutting-edge technology to integrate vision systems with robotic manipulation and navigation, to enhance automation capabilities.

Responsibilities:

• Implement high-fidelity spatial mapping and real-time object recognition pipelines.
• Integrate vision systems directly with robotic manipulation and navigation controls.
• Train and fine-tune Vision-Language-Action (VLA) models.

Required Skills:

• Proficiency in 3D Gaussian Splatting, NeRFs, and modern SLAM algorithms.
• Experience with multimodal spatial AI frameworks.
• Previous work integrating computer vision outputs with ROS2 or robotic hardware.