
Ultra
Practical, general-purpose robots for repetitive industrial tasks
What Ultra does
Ultra builds practical, general-purpose robots that are deploying—and producing ROI—today. Unlike traditional industrial automation that’s rigid and complex, our robots are zero integration (able to be installed in hours, not weeks) and are highly flexible, capable of quickly learning new tasks and delivering immediate value to customers. Founded by a team of three-time entrepreneurs with a decade of collaboration, Ultra moves fast. We already have robots in the field generating revenue and data, with plans to rapidly scale deployments this year.
7 open roles
What the role involves
About Ultra Ultra builds industrial AI robots that are working in the real world today. Our robots automate mission-critical warehouse labor end-to-end, starting with e-commerce order packaging. We deploy fast, learn from real production data, and iterate aggressively. We already have a quickly growing number of revenue-generating robots operating in U.S. warehouses, and are now scaling towards thousands of deployments over the next few years. Our mission is simple: build the world's most useful and deployable robot. WARNING: Robotics is not for the faint of heart. There are no silver bullets here. It is tiresome, unglamorous, and at times brutal work. The only way out is through, and the only way through is treacherous and unknown. But on the other side awaits insatiable demand and unimaginable opportunity. Join us if you dare. Overview We’re seeking a Product Engineer to join our NYC-based team (we are an in-person company) to build the glue between Operator and our customers’ systems. Fast deployment is the name of the game — roll it up, plug it in, turn it on. We are an early stage company moving very fast in a rapidly growing space, and welcome people from any background as long as you’re excited to join our mission, drive immediate impact, and create a future where automation is accessible to all. Who You Are You’ve have 5+ years of professional software development experience You turn high-level, open-ended problem statements into quality technical solutions (and can handle all of the in-between steps) You thrive in a high-trust, high-autonomy environment. You don’t need to be micromanaged on what the top priorities are at any given moment You’re using AI to write your code You consider yourself a software generalist and have worked on a variety of software systems You know how to deploy high-quality production code as a part of a software team and are comfortable moving uncomfortably fast What You’ll Do Design and build the interfaces that our customers use daily to operate our robots Create internal tools to help our ops and support teams scale Bonus Points You're a former founder You’ve built self-improving, agentic systems in the past You have a strong product sense and know all about UX in HIL systems Expected Compensation $150,000 - $225,000/annual salary + equity + benefits This compensation range may be inclusive of several career levels at Ultra and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Equal Employment Opportunity Statement We are an Equal Opportunity Employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a diverse and inclusive environment and encourage applicants from all backgrounds to apply.
What the role involves
Overview We're seeking a Senior Machine Learning Engineer to join our NYC-based team (we are an in-person company), and own our ML infrastructure and data systems. As our robots scale, so does the volume of data we collect—we need someone who can build the systems to ingest, process, and serve petabytes of multimodal data for training our neural network policies. We are an early stage company moving very fast in a rapidly growing space, and welcome people from any background as long as you're excited to join our mission, drive immediate impact, and create a future where automation is accessible to all. What You'll Do Own our data platform and scale it to ingest large amounts of video streams and make them available for training in real time Own our ML infrastructure stack end-to-end, including distributed training, experiment tracking, and cluster management Build out data management systems and high-performance data access layers on top of PB+ scale multimodal data Collaborate with the rest of our research team on designing and running experiments as we rapidly improve our policies’ capabilities Maintain high availability and reliability of critical infrastructure Who You Are You have deep experience building and operating large-scale data systems (PB+ scale), ideally in domains like autonomous vehicles or robotics You're comfortable with real-time processing, streaming, and event-driven systems You have built deep learning training and inference systems at scale You thrive in a high-trust, high-autonomy environment. You don't need to be micromanaged on what the top priorities are at any given moment You're hungry for impact and personal growth, and like to have fun in the pursuit Deeply passionate about robotics and physical AI Bonus Points Experience working on large-scale autonomous vehicles datasets or similar robotics domains Hands-on experience with distributed ML training at scale (1000+ GPU hours) Familiarity with video codecs, compression, and efficient video storage/retrieval systems Experience with reinforcement learning, imitation learning, or VLA model training pipelines Experience working with hardware systems in a production environment About Ultra Ultra builds AI-native industrial robots that actually work in the real world. Our systems automate mission-critical warehouse labor end-to-end, starting with e-commerce order packaging. We deploy fast, learn from real production data, and iterate aggressively. We already have multiple revenue-generating robots operating in U.S. warehouses, and are now scaling toward hundreds of deployments over the next couple years. Our goal is simple: build the most advanced, most productive industrial AI robots on the planet.
What the role involves
About Ultra Ultra builds industrial AI robots that are working in the real world today. Our robots automate mission-critical warehouse labor end-to-end, starting with e-commerce order packaging. We deploy fast, learn from real production data, and iterate aggressively. We already have multiple revenue-generating robots operating in U.S. warehouses, and are now scaling toward hundreds of deployments over the next couple years. Our goal is simple: build the most advanced, most productive industrial AI robots on the planet. Overview We’re seeking a Senior Mechatronics Engineer - Application R&D to join our NYC-based team and help lead the development of our robot and the tools it uses in real customer warehouses. We are an early stage company moving very fast in a rapidly growing space, and welcome people from any background as long as you’re excited to join our mission, drive immediate impact, and create a future where automation is accessible to all. What You’ll Do Design and deploy robot tooling and end effectors that expand our capabilities and solve real customer problems. Work closely with our team of robot pilots to optimize robot performance for these capabilities- our customers are asking us to develop new capabilities every day, and they have performance metrics we need to be able to hit. Lead rapid design loops to ship improvements fast — prototype, validate on the robots in the lab, learn, and refine. Make build-vs-buy decisions for tools and peripherals, selecting off-the-shelf components when smart and developing custom parts when it creates strategic advantage. Work hands-on with the broader engineering team to make your work compatible with our autonomy stack and ready to scale with our robot platform. Who You Are You are a mechatronics Swiss army knife, capable of working on every part of the hardware stack for our robotic systems, and have multiple years of experience working in robotics. You have a portfolio of designing ingenious devices using a wide variety of mechanical and electrical approaches. You enjoy problem solving, almost to a fault. You thrive in a high-trust, high-autonomy environment. You don’t need to be micromanaged because you are used to working backwards from customer needs and focusing on the most valuable work. You are hungry for impact and personal growth. Your dream job is an opportunity to work hard with a team of like-minded engineers building the future of robotics. Experience and Skills The full mechatronics stack: 3D design, rapid prototyping, and design for manufacturing Mechanical and electrical assembly - from machine tools, to soldering, to debugging electrical Sourcing and testing components such as motors, cameras, and raw materials Tying designs together with code Communication: good with customers and vendors alike. You know how to build relationships across the board and maintain them while helping us achieve our goals. Great at digging deep on a problem, pulling all of your knowledge and connections together to help us build the most performant robots we can Comfortable with travel to customer and supplier sites both within the US as well as to foreign countries including China, Mexico, and the EU. Expected Compensation $150,000 - $225,000/annual salary + equity + benefits This compensation range may be inclusive of several career levels at Ultra and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Equal Employment Opportunity Statement We are an Equal Opportunity Employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a diverse and inclusive environment and encourage applicants from all backgrounds to apply.
What the role involves
About Ultra Ultra builds industrial AI robots that are working in the real world today. Our robots automate mission-critical warehouse labor end-to-end, starting with e-commerce order packaging. We deploy fast, learn from real production data, and iterate aggressively. We already have multiple revenue-generating robots operating in U.S. warehouses, and are now scaling toward hundreds of deployments over the next couple years. Our goal is simple: build the most advanced, most productive industrial AI robots on the planet. We’re seeking a Senior Mechatronics Engineer - Robot Platform to join our NYC-based team and help evolve our robot platform from high-performing prototypes into scalable, resilient products ready for manufacturing and deployment at scale. This role sits at the intersection of R&D, operations, and supply chain. You’ll take feedback from our deployed systems as well as new R&D concepts and drive them toward manufacturable, resilient, and supportable systems — making the right tradeoffs between performance, reliability, cost, and scalability. We are an early-stage company moving very fast in a rapidly growing space, and welcome people from any background as long as you’re excited to join our mission, drive immediate impact, and help create a future where automation is accessible to all. What You’ll Do Own a significant portion of our robot's hardware platform - you are responsible for mechanical and electrical design and component selection. Work with operations and deployment teams to identify recurring field issues and solve them with engineering improvements Help transition advanced R&D prototypes that expand our capabilities into platform designs we can deploy at scale Help define platform standards, common interfaces, and reusable modules that simplify assembly while improving resilience and serviceability Collaborate with the larger team to select reliable hardware partners, improve component quality, and reduce supply chain risk. Who You Are You have seen a hardware platform transition from early stages to scale, and understand all of the pieces that are necessary to make that scale possible. You naturally consider reliability, maintainability, and operational realities when making design decisions. You’re comfortable moving between mechanical, electrical, and systems-level thinking. You thrive in high-trust, high-autonomy environments and work backwards from real-world needs. You enjoy turning messy, early-stage designs into clean, robust, repeatable systems. You are hungry for impact and personal growth, and want to help build the future of robotics with a small, highly capable team. Experience and Skills Full-stack mechatronics experience 3D design, rapid prototyping, and design for manufacturing/assembly Mechanical and electrical assembly, debugging, hands-on fabrication Experience improving reliability and simplifying designs for production Strong intuition for failure modes and operational resilience Platform & manufacturing Experience shipping hardware into real-world environments Working with CM/ODM partners or production suppliers Understanding of mechanical tolerances, electrical wiring and strain relief, QC processes, and scaling challenges Sourcing motors, sensors, cameras, and custom components Communication & collaboration Strong communication skills with vendors, customers, and internal teams Excellent research and problem-solving ability — able to quickly evaluate tradeoffs across vendors and technologies and know when to go deep on a problem Willingness to travel to customer and supplier sites within the US and internationally to build strong relationships across the board (including China, Mexico, and the EU) Expected Compensation $150,000 - $225,000/annual salary + equity + benefits This compensation range may be inclusive of several career levels at Ultra and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments
What the role involves
About Ultra Ultra builds industrial AI robots that are working in the real world today. Our robots automate mission-critical warehouse labor end-to-end, starting with e-commerce order packaging. We deploy fast, learn from real production data, and iterate aggressively. We already have a quickly growing number of revenue-generating robots operating in U.S. warehouses, and are now scaling towards thousands of deployments over the next few years. Our mission is simple: build the world's most useful and deployable robot. WARNING: Robotics is not for the faint of heart. There are no silver bullets here. It is tiresome, unglamorous, and at times brutal work. The only way out is through, and the only way through is treacherous and unknown. But on the other side awaits insatiable demand and unimaginable opportunity. Join us if you dare. Overview We’re seeking a Senior Software Infrastructure Engineer to join our NYC-based team (we are an in-person company) to give teams across Ultra safe and compliant access to the data that helps accomplish their goals. Engineering shouldn’t be the bottleneck on a new stats page or internal system. We are an early stage company moving very fast in a rapidly growing space, and welcome people from any background as long as you’re excited to join our mission, drive immediate impact, and create a future where automation is accessible to all. Who You Are You’ve have 5+ years of professional software development experience You’re using AI to write your code You have thought a lot about authentication, authorization, and misbehaving agents You consider yourself a software generalist and have worked on a variety of software systems You are proficient in Python and are familiar with different languages and programming paradigms You know how to deploy high-quality production code as a part of a software team and are comfortable moving uncomfortably fast You thrive in a high-trust, high-autonomy environment. You don’t need to be micromanaged on what the top priorities are at any given moment You’re hungry for impact and personal growth, and like to have fun in the pursuit What You’ll Do Own Ultra’s internal authentication and authorization system Build the core infrastructure to allow teams to safely and quickly build internal tools Onboard new data sources and their permissions models Understand and influence the Ultra's compliance policies Bonus Points You’ve build this system at another company You have strong opinions about the best way to implement RBAC Expected Compensation $150,000 - $225,000/annual salary + equity + benefits This compensation range may be inclusive of several career levels at Ultra and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Equal Employment Opportunity Statement We are an Equal Opportunity Employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a diverse and inclusive environment and encourage applicants from all backgrounds to apply.
What the role involves
About Us Ultra is accelerating progress toward boundless automation through a grounded and applied approach to general-purpose robots. Unlike traditional industrial automation that’s rigid and complex, our robots are zero integration—able to be installed in hours, not weeks—and are highly flexible, capable of quickly learning new tasks and delivering immediate ROI. Founded by a team of three-time entrepreneurs with a decade of collaboration, Ultra moves fast and decisively. We already have robots in the field generating revenue and data, with plans to rapidly scale deployments this year. We’re looking for an Machine Learning Scientist to join our NYC-based team (we are an in-person company), and help lead the development of our neural network robot controls, maximally leveraging our fleet of production robots and access to compute. We are an early stage company moving very fast in a rapidly growing space, and welcome people from any background as long as you’re excited to join our mission, drive immediate impact, and create a future where automation is accessible to all. Who You Are Experienced with model training, deployment, and maintenance in a production environment Strong skills in deep learning and related tooling (e.g. Pytorch, Tensorflow, Ray, etc.) You know how to deploy high-quality production code as a part of a software team and care deeply about good engineering You thrive in a high-trust, high-autonomy environment. You don’t need to be micromanaged on what the top priorities are at any given moment. You’re hungry for impact and personal growth, and like to have fun in the pursuit You are a generalist who enjoys getting you hands dirty across the whole stack ML stack from R&D through production Deeply passionate about robotics and AI What You’ll Do Improve our robots’ ability to quickly learn new tasks and to execute those tasks quickly and reliably Train VLA (vision-language-action) models for grasping and manipulation tasks on our robots using simulation and real-robot datasets Keep up with cutting edge research on robot learning (RL, imitation learning, etc.) and evaluate them to improve our stack Build pipelines to collect and curate data coming off our production robots Optimize our models for large scale training and low-latency edge inference Integrate trained models with our production robotics stack and work with deployment teams to scale models across varying warehouse configurations Bonus Points Experience applying ML to robotics, with hands-on robot experience Prior work on real-time ML inference, sim-to-real transfer, or reinforcement learning MS in Computer Science, Machine Learning, Robotics, or a related field Familiarity with typical robotics sensors and calibration procedures
What the role involves
About Us Ultra is accelerating progress toward boundless automation through a grounded and applied approach to general-purpose robots. Unlike traditional industrial automation that’s rigid and complex, our robots are zero integration—able to be installed in hours, not weeks—and are highly flexible, capable of quickly learning new tasks and delivering immediate ROI. Founded by a team of three-time entrepreneurs with a decade of collaboration, Ultra moves fast and decisively. We already have robots in the field generating revenue and data, with plans to rapidly scale deployments this year. We’re seeking a Robotics Engineer to join our NYC-based team (we are an in-person company), and help lead the development of our robot. We are an early stage company moving very fast in a rapidly growing space, and welcome people from any background as long as you’re excited to join our mission, drive immediate impact, and create a future where automation is accessible to all. Who You Are Generalist engineer who wants to build and train robots You know how to deploy high-quality production code as a part of a software team You thrive in a high-trust, high-autonomy environment. You don’t need to be micromanaged on what the top priorities are at any given moment You’re hungry for impact and personal growth, and like to have fun in the pursuit What You’ll Do Implement constrained IK solvers and low-level control loops to build robot interfaces that are optimized for teleoperation and neural network control Wholistic robot and process design for our robots and their intended applications Develop our SOTA teleoperation stack Push the boundaries on how close to zero we can bring latency (hardware stack, video encoding, low latency networking, middleware, etc.) whilst still remaining safe and reliable Develop novel interfaces and feedback mechanisms for human-robot teleoperation and teleoperator-robot-ai interaction Rapid hardware evaluation to guide our robot design Research, prioritize, and source hardware components for the system (e.g. arms, end effectors, cameras, motion capture systems) Integrate with new hardware systems, writing high quality drivers and evaluating their performance Communicate with suppliers to resolve hardware issues Implement simulations that closely match our hardware Go on-site with customers for installation and support when necessary. Some travel will be required (up to 1x/mo) Bonus Points MechE/EE experience for designing and manufacturing robotics components including custom PCBs, engineered parts, and more. You have been staying on top of cutting edge robotics research
Roles are as last read from the company’s own listings. Openings close without notice — check the date on the listing before you spend an evening on the application.
Check the company’s own careers page — linked at the top — before a job board. A role appears there first, sometimes weeks before it is syndicated anywhere else.
Questions and experiences
Nobody has asked anything about Ultra yet. If you have interviewed here, what you know is worth more to the next person than anything on the rest of this page.
Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.