or apply directly on Graphcore's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Graphcore's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Graphcore's roles list one
- Ghost-job risk at Graphcore
- low 0 stale, 5 reposted of 192 open
- Hiring momentum
- 288 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Graphcore's own greenhouse board since 2026-08-03. Full hiring picture for Graphcore.
About this role
The Staff Robotics Engineer at Graphcore will lead the design, integration, validation, and deployment of robotic automation systems for data center operations. This role involves collaborating with various teams and partners to develop scalable robotic solutions, guiding technical initiatives, and ensuring the transition from R&D to production-ready systems. The engineer will also support troubleshooting and contribute to technical planning and documentation.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Graphcore as an employer.
What you need
- 8+ years of experience in automation or equipment engineering, focusing on mechatronic subsystems and modular machine design
- Experience taking robotic or automated systems from prototype/R&D into production or field deployment
- Experience with material handling systems, automated equipment, or productionized robotic solutions
- Familiarity with 3D localization or VLM-based object detection
- Experience conducting FAT/SAT validation and managing technical deliverables with partners and manufacturers
- Proven ability to debug the full-stack: PLC logic, high-level code (C# or Python), and complex mechanical/electrical hardware
Nice to have
- Experience applying machine learning or AI techniques within robotics systems
- Experience with simulation environments and digital twin technologies
- Knowledge of computer vision, sensor fusion or reinforcement learning techniques
- Experience deploying robotics applications to cloud, edge or embedded environments
- Familiarity with GPU acceleration, high-performance computing or AI infrastructure
What you get
- Flexible working
- Comprehensive benefits package including medical, dental and vision coverage
- Flexible Spending Accounts (FSAs)
- Health Savings Accounts (HSAs)
- Disability and life insurance
- 401(k) retirement plan
Worth weighing
- Role involves collaboration across APAC time zones, which may affect work-life balance
- High autonomy expected in defining technical direction, which may require strong self-management skills
- The position may involve complex problem-solving across various engineering disciplines, which could be challenging for some candidates.
Summarised from Graphcore's posting. Read the full original.
Listed by Graphcore on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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