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Tvm Jobs in California (NOW HIRING)

NIO

AI Technical Lead

San Jose, CA · Hybrid

$192K - $249K/yr

Deep understanding of edge/cloud model-serving frameworks (e.g., vLLM, TensorRT-LLM, ExecuTorch, MLC-LLM) and AI compilers (e.g., MLIR, Apache TVM, Triton) for compute graph optimization and custom ...

NIO

AI Technical Lead

San Jose, CA · On-site

$192K - $249K/yr

Deep understanding of edge/cloud model-serving frameworks (e.g., vLLM, TensorRT-LLM, ExecuTorch, MLC-LLM) and AI compilers (e.g., MLIR, Apache TVM, Triton) for compute graph optimization and custom ...

NIO USA, INC

AI Technical Lead

San Jose, CA · Hybrid

Deep understanding of edge/cloud model-serving frameworks (e.g., vLLM, TensorRT-LLM, ExecuTorch, MLC-LLM) and AI compilers (e.g., MLIR, Apache TVM, Triton) for compute graph optimization and custom ...

femtoAI

ML Compiler Engineer

San Bruno, CA · On-site

MLIR, LLVM, TVM, XLA, or similar * Graph-level transformations or ML model internals * Understanding of deep learning models (conv, sequence models, etc.) * Ability to reason about correctness and ...

femtoAI

Senior ML Compiler Engineer

San Bruno, CA · On-site

$124K - $171K/yr

ML compiler frameworks (MLIR, TVM, XLA, etc.) * Low-level optimization (scheduling, memory, tiling) * Proven ability to design non-trivial compiler systems or passes * Strong intuition for ...

nio.com

AI Technical Lead

San Jose, CA · On-site

$192.10 - $249.60/hr

Deep understanding of edge/cloud model-serving frameworks (e.g., vLLM, TensorRT-LLM, ExecuTorch, MLC-LLM) and AI compilers (e.g., MLIR, Apache TVM, Triton) for compute graph optimization and custom ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Familiarity with ML compilers (e.g., TVM, MLIR) or inference engines like TensorRT or ONNX Runtime. * Knowledge of distributed training systems or cloud-scale inference serving (e.g., Triton ...

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All JobsTvm JobsTvm Jobs in California

Tvm information

See California salary details

$41K

$98.6K

$141.1K

How much do tvm jobs pay per year?

As of Aug 9, 2026, the average yearly pay for tvm in California is $98,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $118,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the TVM position, and why are they important?

To excel as a Ticket Vending Machine (TVM) Technician, you need a solid understanding of electronics, mechanical systems, and troubleshooting, typically supported by a diploma or certification in engineering technology or a related field. Familiarity with diagnostic tools, wiring diagrams, and proprietary ticketing software systems is often essential. Strong problem-solving skills, attention to detail, and effective communication make technicians more effective in resolving issues quickly and interacting with customers or team members. These abilities are vital for maintaining machine uptime, ensuring efficient customer service, and minimizing operational disruptions.

What are the typical daily responsibilities of a TVM technician?

As a TVM Technician, your day-to-day responsibilities include performing routine inspections and maintenance on ticket vending machines, troubleshooting and repairing mechanical or software faults, and ensuring the machines are stocked with tickets or paper. You may also work on upgrading software, calibrating sensors, and logging your work through maintenance management systems. Collaboration with customer service teams is common when addressing recurring user issues or during machine downtime, and technicians often respond to service calls both independently and alongside other technical staff. This role requires travel between multiple sites and hands-on work to keep stations running smoothly.

What is a TVM?

A TVM (Trusted Virtual Machine) job typically involves working with secure virtual environments to ensure data protection, system integrity, and safe execution of applications. Professionals in this role often manage virtualization security, threat detection, and compliance within cloud or enterprise environments. They may work with technologies like secure enclaves, virtual machine monitoring, and encryption to prevent unauthorized access. The role is commonly found in cybersecurity, cloud computing, and IT infrastructure teams.

What are the most commonly searched types of Tvm jobs in California? The most popular types of Tvm jobs in California are:
What are popular job titles related to Tvm jobs in California? For Tvm jobs in California, the most frequently searched job titles are:
What job categories do people searching Tvm jobs in California look for? The top searched job categories for Tvm jobs in California are:
Tvm jobs near you
Infographic showing various Tvm job openings in California as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 14% Hybrid, and 8% Remote job distribution, with an average salary of $98,565 per year, or $47.4 per hour.

AI Technical Lead

NIO

San Jose, CA • Hybrid

$192K - $249K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

JOB DESCRIPTION

About NIO

NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.

NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.

NIO's product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.

Roles and Responsibilities
  • Architect the Hybrid AI Vision: Lead the architectural design and strategic vision for hybrid inference systems, dynamically distributing Large Language Model (LLM) and Vision-Language Model (VLM) workloads across edge computing environments and cloud infrastructure.
  • Team Leadership & Innovation: Lead, mentor, and inspire a team of specialized engineers working across distributed systems orchestration, inference optimization, and AI compiler engineering. While you are not expected to be a hands-on master of every domain, you will drive the overarching technical roadmap, foster a culture of cutting-edge innovation, and guide domain experts in navigating complex system tradeoffs.
  • Design Dynamic Orchestration & Resilience: Oversee the architecture of high-availability orchestration engines that intelligently route inference tasks. Guide the team in developing cascading inference mechanisms, dynamic model fallback strategies, and robust telemetry to ensure continuous, steady-state inference under varying connectivity constraints.
Qualifications
  • Education & Experience: Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, or a related field with 8+ years of relevant industry experience (or Master's degree with 12+ years), including proven experience leading technical teams or driving complex architectural roadmaps.
  • End-to-End Systems Leadership (T-Shaped Profile): Demonstrated capability to lead full-stack AI systems engineering. You possess deep, hands-on mastery in at least one or two of the following core domains, coupled with the comprehensive systemic breadth required to effectively lead engineers working across the others:
    • Distributed Systems & Hybrid Inference: Designing, scaling, and deploying production-grade distributed ML systems. Balancing cloud infrastructure with edge constraints using modern routing paradigms, such as cascading inference architectures and semantic routing.
    • Algorithmic & Inference Optimization: Proven experience optimizing state-of-the-art LLM/VLM inference pipelines. Deep understanding of model compression (e.g., PTQ, QAT, AWQ, FP8/INT4), hardware-aware compute optimizations (e.g., FlashAttention), and advanced memory management (e.g., PagedAttention, KV cache compression/eviction).
    • Advanced Systems & Compiler Engineering: C++ and production-grade Python proficiency. Deep understanding of edge/cloud model-serving frameworks (e.g., vLLM, TensorRT-LLM, ExecuTorch, MLC-LLM) and AI compilers (e.g., MLIR, Apache TVM, Triton) for compute graph optimization and custom kernel development.
Preferred Qualifications
  • Privacy & Security: Deep understanding of privacy-preserving AI techniques (federated learning, differential privacy, secure enclaves) essential for processing sensitive data across edge and cloud environments.
  • Community Engagement & Open Source: Publications in relevant AI, ML, or systems conferences (e.g., NeurIPS, ICML, MLSys), or active contributions to open-source ML infrastructure projects (e.g., vLLM, ONNX Runtime, Apache TVM, llama.cpp).

Compensation:

The US base salary range for this full-time position is $192,100.00 - $249,600.00.

  • 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:

  • Anthem Blue Cross, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage.

  • Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents.

  • Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible Anthem Blue Cross medical plan

  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)

  • 401(k) with Brokerage Link option

  • Company paid Basic Life, AD&D, short-term and long-term disability insurance

  • Employee Assistance Program

  • Sick and Vacation time

  • 13 Paid Holidays a year

  • 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

  • Mobile Cell Phone Credit

  • Free lunch and snacks

  • Onsite gym

  • Employee discounts and perks program

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