Design and build customer-facing and internal tools that integrate Ultra robots with customer systems. Own end-to-end features across the stack (web, ops/support tooling) and occasionally touch robot, Android/VR, or mobile code. Deploy production-quality software and iterate using real warehouse data.
About Ultra
Who You Are
What You’ll Do
Bonus Points
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. Success will require teamwork - so we are building a world-class team to tackle some of the most exciting problems out there. We hope you join us.
OverviewWe’re seeking a Product Engineer to join our NYC-based team (we are an in-person company) to build the glue between OP-1 and our customers’ systems. You are a full-stack engineer who will build all of the systems around the robot: the customer UX for working with Ultra, internal ops and support tooling, or whatever the next highest priority is. You'll own features end-to-end (and might touch robot code in the process).
- You have 5+ years of professional software development experience
- You consider yourself a software generalist and have worked on a variety of software systems, with a soft spot for Python/TypeScript-based web stacks.
- You turn high-level, open-ended problem statements into quality technical solutions (and can handle all of the in-between steps)
- You’re dangerous with LLMs because you know when they're wrong
- You know how to deploy high-quality production code as a part of a software team and are comfortable moving uncomfortably fast
- Design and build customer-facing product for running and managing robots in their warehouses, and iterate from how they’re actually used on the warehouse floor
- Build the internal tools for ops, support, and deployment so we can scale without heroics
- Pinch-hit across the stack as needed (Android VR dev, on the robot, future mobile app)
- You're a former startup 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.
Ultra (ultra.tech) New York, New York, USA Office
New York, New York, United States, 11232 2405
Similar Jobs
Greentech • Information Technology • Social Impact • Software
Embed with customer-facing teams to gather requirements, write PRDs, and own feature delivery end-to-end. Build and ship fixes on a Ruby on Rails and React stack, use AI-enabled engineering workflows, handle P2/P3 support, escalate critical incidents, and collaborate on product prioritization and technical sequencing.
Top Skills:
Agentic Coding ToolsAi-Assisted Engineering ToolsReactRuby On Rails
Information Technology • Software
Lead architecture, engineering, and technical strategy for large-scale, production AI systems. Drive model serving and inference initiatives, optimize performance/cost, evaluate emerging AI tech, set engineering standards, mentor senior engineers, and influence product and infrastructure strategy.
Top Skills:
Ai AgentsCudaDistributed InferenceDistributed SystemsGpu OptimizationInferenceKubernetesLarge Language Models (Llms)Model ServingRagTgiTritonVllm
Information Technology • Software
Lead 0->1 product initiatives, design and implement full-stack product architectures, establish technical foundations, partner with customers and product leadership, mentor engineers, and influence roadmap while balancing speed and long-term sustainability.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


