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AI Infrastructure Development Specialist

1 month ago

San Jose, California, United States NIO Full time

At NIO, we're shaping a joyful lifestyle by designing, developing, and manufacturing premium smart electric vehicles. We're looking for a talented AI Infrastructure Development Specialist to join our team and help us deliver AIOS foundation capability in SkyOS across ECU domains.

  1. Develop and maintain technical solutions that enable AIOS foundation capability in SkyOS.
  2. Collaborate with engineering teams to understand real-world constraints and support high-quality implementation of AIOS designs for product development, validation, and integration.
  3. Define the evolution roadmap for AIOS solutions and deliver requirements for development teams.
  4. Stay up-to-date with industry trends and competitors' technical stacks.

Key qualifications include:

  • 2+ years of experience in software design and development for AI model training, inference optimization, and deployment.
  • In-depth knowledge of latest AI model architectures, such as Transformer.
  • Experience building public AI extensions or applications.
  • Cloud infrastructure and training experience (Azure, AWS, etc.).
  • CI/CD experience (Gitlab, GitHub, Jenkins etc).
  • 2+ years of experience working in ML infra (PyTorch, TensorFlow etc).
  • 2+ years of development experience in building complex software systems.
  • Proficient in C/C++ programming and Python.
  • BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent.

Preferred qualifications include:

  • Masters degree + 2 years of relevant industry experience, or Ph.D. degree in computer science, artificial intelligence, or related fields.
  • Experience building ComfyUI extension or Python native apps using SDXL.
  • Understanding of hardware acceleration (Stable Diffusion, SAM, Mistral, Groq, etc).
  • Familiar with LLM and optimization on resource-constrained edge devices for inferences.
  • Experience in performance tuning & inference optimization techniques of deep learning models or libraries on hardware architectures.

Compensation:

The US base salary range for this full-time position is $143,200.00 - $186,000.00.

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.

Benefits:

  1. CIGNA EPO, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage.
  2. Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents.
  3. Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible CIGNA medical plan.
  4. Healthcare and Dependent Care Flexible Spending Accounts (FSA).
  5. 401(k) with Brokerage Link option.
  6. Company paid Basic Life, AD&D, short-term and long-term disability insurance.
  7. Employee Assistance Program.
  8. Sick and Vacation time.
  9. 13 Paid Holidays a year.
  10. Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO).
  11. Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO).
  12. Voluntary benefits including Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance.
  13. Commuter benefits.
  14. Mobile Cell Phone Credit.
  15. Healthjoy mobile benefit app supporting you and your dependents with benefit questions on the go & support with benefit billing questions.
  16. Free lunch and snacks.
  17. Onsite gym.
  18. Employee discounts and perks program.