Nimble Robotics
Senior Systems Integration Engineer
San Francisco, California, United States · Senior
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain.
- Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Why Join Nimble?
- Nimble's Core Values: Be relentlessly resourceful - Challenge conventions and overcome obstacles.
Responsibilities
- Own and execute the robot picking and packing performance roadmap. You will utilize metrics to pinpoint mechanical or software bottlenecks and implement aggressive optimizations to improve throughput.
- Serve as the primary technical lead for robotic warehouse programs and production deployment. Ensure the robot fleet performance meet production SLA.
- Conduct deep-dive technical investigations into performance regressions and lead hypothesis validation/testing for complex edge cases.
Requirements
- 5+ years of experience in robotics systems integration, hardware validation, or mechatronics.
- Proven expertise in optimizing performance metrics and managing the interplay between robotic systems and control software.
- A track record of leading "end-to-end" projects, from initial validation in a lab setting to successful deployment in a high-volume production environment.
- Ability to represent Nimble's technology to elite-level stakeholders and translate complex technical performance into clear strategic updates.
- BS or MS in Mechanical Engineering, Electrical Engineering, Robotics, or a related technical field.
- Exceptional analytical skills
- ability to use data to drive mechanical and software engineering changes.
Compensation
- The pay range for this position at the start of employment is expected to be between $160,000 and $190,000/year.
- In addition to cash compensation, this position will also receive generous equity for this position.
Benefits
- Collaborate with robotics software and AI vision teams to define and roadmap cutting-edge features to maximize operational efficiency and improve robotic grasp-ability, robustness and reliability.
- We want to create something legendary and leave our mark on the world.
- Nimble's Benefits
- Unlimited Flexible Time Off
- Health Insurance
- Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
- Paid Parental Leave
- Commuter Benefits
- Referral Bonus
- Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.
- Contribute towards a 401k for retirement planning.
- Be an owner in Nimble through our equity program
Company info
- We are a hardcore and obsessed team of the world's best engineers and operators.
- We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
- Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
Equal opportunity
- Nimble Robotics, Inc. is an equal opportunity employer.
This listing is sourced directly from Nimble Robotics's careers page and normalized into a canonical job model.