---
title: 'Staff Manufacturing Engineer, Production Systems at Cobot'
canonical: 'https://feeny.ai/job/staff-manufacturing-engineer-production-systems-cobot-santa-clara-jxgaz3jthgae'
type: 'job'
last_seen: '2026-09-07'
---

# Staff Manufacturing Engineer, Production Systems at Cobot

- **Company:** Cobot
- **Location:** Santa Clara, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/cobot/c54fa946-dd6b-4f0a-8957-4370b7d62e25

## Job description

Are you passionate about architecting high-performing production lines for the next generation of Physical AI? Collaborative Robotics is looking for a Staff Manufacturing Engineer, Production Systems to design and launch the in-house production system for our robots.

You will own the production line from a blank sheet through stable, repeatable operation. That includes architecting the manufacturing process, ideating on fixtures and tools, establishing process controls, identifying bottlenecks, and working directly with hardware engineers and build technicians to improve how the robot is designed and assembled.

You will have meaningful ownership, limited existing infrastructure, and the support to build a production system that can grow with the company.

Join us to reimagine the future of human-robot interaction.

Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.

This role is located onsite at our Santa Clara, CA headquarters.

Cobot will offer a relocation stipend if you are relocating to join our Santa Clara office and currently live more than 50 miles outside of the office location.

Key Responsibilities:

- Architect the end-to-end build sequence and work instructions for the production line, starting from a hardware design with no prior production history.
- Define the fixture design philosophy for the line.
- Serve as the primary link between the build floor and hardware design, flagging hard-to-build decisions and driving specific alternatives to closure.
- Run process FMEA on new and changed build steps to get ahead of likely failure modes before they become chronic.
- Build the root-cause and defect-closure system, instrument how issues get discovered, root-caused and closed.
- Define the metrics infrastructure, run time studies, identify bottleneck stations, and instrument the line to produce real cycle time, first-pass yield, and scrap data.

Minimum Qualifications:

- 9+ years in manufacturing/process/production engineering for electromechanical hardware (robotics, consumer electronics, medical devices, automotive, or similar).
- Direct experience standing up a new production line or NPI (new product introduction) process, ideally at low-to-mid volume with active product iteration.
- Demonstrated fixture/jig design judgment, knowing what to design and what to buy.
- Fluency with DFM/DFA principles and influencing engineering design decisions.
- Experience with data analysis and metrics for production lines.
- Highly motivated teammate with excellent oral and written communication skills.
- Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team.
- Willing to occasionally travel.
- Must have and maintain US work authorization.

Preferred Qualifications:

- Experience in both a CM/EMS environment and an in-house build environment.
- Process FMEA and root-cause methodology (5-why, fishbone, etc.) experience.
- CAD proficiency (fixture design) and familiarity with rapid prototyping (3D printing, laser cutting, basic machining) for quick fixture iteration.
- Experience mentoring or setting technical direction for other process/manufacturing engineers.

The annual base salary range for this position is $205,000 - $240,000 plus equity and comprehensive benefits including medical/dental/vision plans, 401(k) plan, unlimited paid vacation time, paid sick leave, and parental leave. Our salary ranges are determined by role and experience level. The range reflects the minimum and maximum target for new hire salaries for the position in the noted geographic area. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.

Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know.

To all recruitment agencies: Collaborative Robotics does not accept agency resumes. Please do not forward resumes to our employees. Collaborative Robotics is not responsible for any fees related to unsolicited resumes.

Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know.

To all recruitment agencies: Collaborative Robotics does not accept agency resumes. Please do not forward resumes to our employees. Collaborative Robotics is not responsible for any fees related to unsolicited resumes.

## About Cobot

## Company Overview
- **One-liner**: Cobot (Collaborative Robotics) builds practical collaborative robots (cobots) designed to work safely alongside people in real-world environments, starting with its flagship robot, Proxie.
- **Entity Type**: Private (Series B)
- **Headquarters**: Santa Clara, California, United States (secondary office in Seattle, WA)
- **Founded**: 2022
- **Founders**: Brad Porter (CEO)

## Core Business
- **Primary industry/industries**: Automation Machinery Manufacturing, Robotics, Healthcare logistics
- **Target customers**: B2B – Enterprise and mid-market customers in healthcare, logistics, and facility management
- **Mission or purpose statement**: "To build a new robotic future. A future where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around."

## Products & Services
- **[Proxie](https://www.co.bot/)**: A mobile collaborative robot designed for material handling, asset tracking, and facility management in complex, human-centric spaces. Hardware with embedded AI and predictable behaviors.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metrics**:
  - **Total Funding**: $140M (Seed: $10M, June 2022; Series A: $30M, July 2023; Series B: $100M, April 2024)
  - **Annual Revenue**: ~$250K (early-stage, pre-revenue at scale)
  - **Employees**: ~132 (as of mid-2026), growing +103% YoY
- **Notable Investors/Partners**:
  - Neo (Seed lead)
  - Sequoia Capital (Series A lead)
  - General Catalyst (Series B lead)
  - Bison Ventures, Industry Ventures, Lux Capital (Series B participants)
  - Advisor: Teresa Carlson (former AWS executive)
- **Growth Signals**:
  - Public launch of Proxie in November 2024
  - Rapid headcount growth (+103% YoY)
  - Talent sourced from Amazon Robotics, Meta, Tesla, Apple
  - Featured in AWS CEO keynote (2024)

## Competitive Advantages
- **Founding team with deep robotics expertise** – Founded by Brad Porter, who helped scale Amazon Robotics to over 500,000 robots.
- **Empathy-first design philosophy** – Robots that react to people, not vice versa, enabling safe deployment in crowded, dynamic environments without cages.
- **Full-stack ownership** – In-house hardware, AI, safety systems, and software platform.

## Strategic Focus
- **Healthcare and logistics** – Targeting high-value use cases like hospital material transport and warehouse collaboration.
- **Scaling field deployment** – Building professional services and strategic account teams to support enterprise customers.
- **Safety certification** – Actively hiring Staff Certification Lead and Staff Software Engineer, Safety to meet rigorous industry standards.

## Why Work Here
- **Culture**: "One without egos. Driven by empathy. With collaboration at its core." Emphasis on mission-driven work and cross-functional teamwork.
- **Work policy**: In-office (Seattle and Santa Clara offices). No remote or hybrid options listed for most roles.
- **Notable perks/engineering culture**:
  - Cutting-edge tech stack: Python, TypeScript, PyTorch, TensorFlow, ROS, Docker, Kubernetes, etc.
  - Strong safety engineering focus – unique opportunity to shape the safety paradigm in collaborative robotics.
  - Small but rapidly growing team (132 people) with high ownership and impact.
  - Alumni have gone to Google, Meta, Apple, Stack AV, Zipline – signaling a pedigree robotics talent pool.

## Sources
1. [co.bot (Official Website)](https://www.co.bot/)
2. [Cobot LinkedIn](https://www.linkedin.com/company/co-bot)
3. [Built In – Cobot Profile](https://builtin.com/company/cobot)
4. [LeadIQ – Cobot Company Overview](https://leadiq.com/c/cobot---collaborative-robotics-inc/6398f5ce99142b48fd4f4cd7)
5. [Ashby – Cobot Careers Page](https://jobs.ashbyhq.com/cobot)

## Other roles at Cobot

- [Robot Data Collection Lead](https://feeny.ai/job/robot-data-collection-lead-cobot-seattle-qbrt4z66t51r) — Seattle, WA
- [Wire Harness Mechanical Engineer](https://feeny.ai/job/wire-harness-mechanical-engineer-cobot-santa-clara-v3n8m1w2tqca) — Santa Clara, CA
- [Staff Embedded Software Engineer, Robotics](https://feeny.ai/job/staff-embedded-software-engineer-robotics-cobot-santa-clara-zz1x3yxdnrye) — Santa Clara, CA
- [Director Technical Program Manager, Software](https://feeny.ai/job/director-technical-program-manager-software-cobot-santa-clara-knwmx55q8ge7) — Santa Clara, CA
- [Staff Technical Program Manager, Software](https://feeny.ai/job/staff-technical-program-manager-software-cobot-santa-clara-cjt9v6hr8rnd) — Santa Clara, CA
- [Senior Technical Program Manager, Software](https://feeny.ai/job/senior-technical-program-manager-software-cobot-santa-clara-c0mqx1xrqm5t) — Santa Clara, CA
- [Deployment Engineer](https://feeny.ai/job/deployment-engineer-cobot-remote-naedqw272as9)
- [Robotics Assistant](https://feeny.ai/job/robotics-assistant-cobot-santa-clara-cwjs21yx4pta) — Santa Clara, CA
- [Director, Manufacturing & Quality Operations](https://feeny.ai/job/director-manufacturing-quality-operations-cobot-santa-clara-rm9jc4r1x7qv) — Santa Clara, CA
- [Robotics Assistant](https://feeny.ai/job/robotics-assistant-cobot-seattle-9bv7mjb6k1pp) — Seattle, WA