Own firmware where software meets hardware for warehouse robots: debug and fix HW/SW interface failures, tune Linux/kernel for predictable performance, implement safety systems, write device control interfaces, and define metrics for predictive hardware health.
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 Robotics Firmware Engineer to join our NYC-based team (we are an in-person company) to own the hard problems where software meets metal. Our robots run every day in the lab and at customer sites; when joints freeze, buses flake, or safety state is wrong, you are the person who finds the real cause and ships the fix. 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.
- 2+ years shipping firmware on real robots or similarly unforgiving embedded systems
- You’re dangerous with LLMs because you know when they're wrong
- Comfortable from scope traces and schematics up through kernel/driver and into application control loops
- You’ve identified, diagnosed, and fixed intermittent failures end-to-end (timing, noise, thermal, state machines)
- You produce production-quality code and can pinch-hit outside pure firmware when the robot needs it
- You can look at a ticket backlog and identify the most important thing to work on next
What You’ll Do
- Debug and permanently fix HW/SW interface failures that kill uptime (actuators, buses, sensors, recovery paths)
- Tweak all the Linux parameters nobody knows about to get reliable, predictable OS performance
- Help design and implement a safety system with real guarantees for Operator's warehouse work
- Write control interfaces for any new devices we want to onboard (new EEs, cameras, barcode scanners, etc)
- Identify key metrics to monitor for predictive failure signals and overall hardware health
- MechE/EE experience for designing and manufacturing robotics components including custom PCBs, engineered parts, and more.
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
Machine Learning • Payments • Security • Software • Financial Services
Leads enterprise adoption of tokenization and data protection services. Develops adoption strategies, prioritizes implementation opportunities, advises application and business teams, governs onboarding and readiness, manages risks, communicates with executives, and tracks KPIs, KRIs, coverage, and sensitive-data reduction. The role supports cybersecurity transformation, regulatory compliance, application security, cryptographic strategy, and scalable data protection across a complex financial-services environment.
Top Skills:
Access ControlApplication SecurityCryptographic TechnologiesData Loss PreventionData Privacy RegulationsEncryptionNetwork SecurityPci DssTokenization
Machine Learning • Payments • Security • Software • Financial Services
Provides enterprise technology support through phone, ticketing, and potentially chat channels. Troubleshoots hardware, software, network, access, and application issues; manages incidents and escalations; documents resolutions in ServiceNow or similar ITSM tools; analyzes trends and operations data; supports knowledge management, training, process improvement, and automation; and coaches junior analysts while maintaining customer service, security, and confidentiality standards.
Top Skills:
Call Center TechnologiesHardware InfrastructureItsmNetworkingServicenow
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, assess customers’ insurance needs, recommend Property and Casualty products and coverages, and convert prospects into policyholders. The role includes paid remote training and licensing, customer consultation, sales closing, and adherence to scheduled shifts. Representatives must maintain a professional home workspace with reliable wired high-speed internet and remain in their resident state for at least one year.
Top Skills:
Cable InternetDsl InternetFiber InternetPc
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
