The AI Infrastructure Community Development program needs a technical contractor to bridge the gap between world-class academic research and large-scale AI accelerator infrastructure. You will be the primary technical point of contact for university researchers onboarding onto a cloud-based AI compute platform, specifically focusing on distributed training using GPUs and specialized AI accelerators. Additionally, you will serve as a key technical coordinator for our 2026 DevLab series, ensuring that the next generation of AI researchers has the hands-on environment they need to build with modern open-source ML frameworks and compiler ecosystems.
Scope:
Academic Technical Onboarding
• Cloud Concierge: Guide research teams through the initial setup of cloud projects, billing (including research credits), and identity and access management.
• Architecture Advisory: Provide “best-fit” hardware recommendations (e.g., when to use high-end GPUs vs. specialized AI accelerators) based on the researcher’s model architecture and workload requirements.
• Platform Enablement: Train users on cloud consoles, managed ML services, and container orchestration platforms for distributed training and large-scale experimentation.
Performance & Scaling Support
• Hardware Optimization: Assist researchers in debugging distributed training environments across frameworks such as JAX, PyTorch, and TensorFlow, including accelerator configuration and performance tuning.
• Quota & Resource Management: Act as a liaison for high-priority academic projects to ensure access to necessary accelerator capacity for time-sensitive research milestones (e.g., major conference deadlines).
Event Coordination (DevLabs 2026)
• Technical Lab Design: Assist engineering teams in building and testing hands-on codelabs for the June 2026 DevLabs.
• Logistics & Community: Manage the event interest pipeline and potentially lead technical breakout sessions during the event.
• Feedback Loop: Document researcher pain points and feature requests to improve the developer experience across the accelerator and open ML ecosystem.
Required:
• Cloud Infrastructure: 3+ years of experience with major cloud platforms (compute instances, object storage, identity, and access management).
• Accelerator Expertise: Hands-on experience configuring and managing NVIDIA GPUs and/or AI accelerators in a cloud or HPC environment.
• Framework Knowledge: Familiarity with JAX, PyTorch, TensorFlow, or similar ML frameworks. Experience with CUDA or accelerator compilers is helpful.
• Academic Context: Understanding of the academic research lifecycle (grant cycles, publication deadlines, collaborative lab structures).
• Education: B.S. or M.S. in Computer Science, Data Science, or a related technical field. Equivalent experience also considered.
Pluses:
• Experience writing or troubleshooting distributed training configurations (e.g., multi-host, sharded workloads).
• Previous experience organizing technical workshops, hackathons, or developer bootcamps.
• Familiarity with Slurm or other HPC schedulers commonly used by academic institutions.
Estimated Min Rate: $50.00
Estimated Max Rate: $60.00
What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
- Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
- Health Savings Account (HSA) (for employees working 20+ hours per week)
- Life & Disability Insurance (for employees working 20+ hours per week)
- MetLife Voluntary Benefits
- Employee Assistance Program (EAP)
- 401K Retirement Savings Plan
- Direct Deposit & weekly epayroll
- Referral Bonus Programs
- Certification and training opportunities
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
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