Nio

Nio

Sr/Staff AI Infrastructure Engineer

San Jose-US, USA · Staff+ · Full-time

Sponsorship not specified$164k-$212kDetected 24 days ago
PythonC++GitAWSAzureCloud PlatformsCI/CDJenkinsLinuxMachine LearningDeep LearningTensorFlowPyTorchNLPLLMsElectrical EngineeringResearchCommunicationWriting

About the role

  • JOB DESCRIPTION About NIO NIO is a pioneer and a leading company in the premium smart electric vehicle market.

Responsibilities

  • Architect technical solutions that help us deliver AIOS foundation capability in SkyOS across ECU domains.
  • Lead the proof-of-concept development to evaluate the architectural designs in terms of functionality, performance, security, and dependability.
  • Partner with engineering teams to understand real-world constraints and to support the high-quality implementation of AIOS designs for product development, validation and integration.
  • Define and deliver requirements for development team.

Requirements

  • 3+ years of experience in software design and development for AI model training, and/or inference optimization, and deployment.
  • In-depth knowledge and hands-on experience in the latest AI model architectures used in the industry and research areas, e.g. Transformer.
  • Experience with cloud infrastructure and training (Azure, AWS, etc.)
  • 3+ years experience working in ML infra such as PyTorch / TensorFlow / etc.
  • Excellent communication skills, and technical writing proficiency.
  • Experience building at least one public AI extension/application/project
  • CI/CD experience (Gitlab, GitHub, Jenkins etc)
  • 7+ years development experience of building complex software systems.
  • Proficient C/C++ programming and Python.
  • BS / MS in Electrical Engineering, Computer Engineering, Computer Science or equivalent.
  • Organized mindset, and passionate about delivering high-quality software.

Nice to have

  • Masters degree + 3 years of relevant industry experience, or Ph.D. degree in computer science, artificial intelligence, or related fields.
  • Understanding of hardware acceleration(Stable Diffusion, SAM, Mistral, Groq, etc)
  • Familiar with LLM and optimization on resource constrained edge devices for inferences
  • In-depth knowledge of computer architectures, CPU / MPU, GPU / NPU.
  • Solid understanding of embedded / mobile operating systems.
  • Familiar with microkernel architecture, Linux kernel, hypervisor, middleware, and application framework.

Skills

  • NIO is a pioneer and a leading company in the premium smart electric vehicle market.

Compensation

  • The US base salary range for this full-time position is $163,500.00 - $212,400.00.
  • 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

  • Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO:
  • CIGNA EPO, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage.
  • Dental (including orthodontic coverage) and vision plan.
  • Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible CIGNA medical plan
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Sick and Vacation time
  • Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO)
  • Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO)
  • Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance
  • Commuter benefits
  • Healthjoy mobile benefit app supporting you and your dependents with benefit questions on the go & support with benefit billing questions

This listing is sourced directly from Nio's careers page and normalized into a canonical job model.