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Smart Source Jobs in California (NOW HIRING)

AI Technical Lead

San Jose, CA ยท On-site

$192K - $249K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About NIO NIO is a pioneer and a leading company in the premium smart electric vehicle market ... Community Engagement & Open Source: Publications in relevant AI, ML, or systems conferences (e.g ...

... open source compiler project. โ€ข Strong background in computer architecture Company : Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart ...

Distributed Systems Engineer

Oakland, CA ยท On-site

$180 - $260/hr

  • Medical

Write, maintain, and develop open-source code. * Commit to decentralization in design and implementation. Nice to Have * Experience with Solidity or other smart contract development. * Worked on high ...

NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles ... Community Engagement & Open Source: Publications in relevant AI, ML, or systems conferences (e.g ...

EVM Engineer - Magic Eden

San Francisco, CA ยท On-site +1

$180K - $220K/yr

Experience in writing secure, efficient, and gas-optimized smart contracts for decentralized ... Familiarity with open-source contribution practices and a proven track record of contributing to ...

Senior Firmware Engineer

San Francisco, CA ยท On-site

$147K - $200K/yr

Building new Bristlemouth integrations for Spotter and Smart Mooring and evolving the open source Bristlemouth core APIs * Collaborating cross-functionally to build new features on existing platforms

Senior Firmware Engineer

San Francisco, CA ยท On-site

$150 - $190/hr

Building new Bristlemouth integrations for Spotter and Smart Mooring and evolving the open source Bristlemouth core APIs * Collaborating cross-functionally to build new features on existing platforms

The role involves developing open source compiler toolsets for Qualcomm silicon and enhancing ... smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of ...

Odos - Integrations

San Francisco, CA ยท On-site +1

$122K - $164K/yr

About Us Odos (app.odos.xyz) is a smart order routing (SOR) solution that allows users to trade ... Contributions to open-source crypto projects

AI Research Engineer - Enterprise Automation

San Jose, CA ยท On-site

$163K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About NIO NIO is a pioneer and a leading company in the premium smart electric vehicle market ... Published research or open-source contributions related to AI automation or applied ML.

We are looking for smart, curious cooks who are excited about cooking food straight from the farm ... We engage sustainable practices in every step of the process from how we source food and dispose of ...

Showing results 21-40

Smart Source information

What is a Smart Source?

Smart Source jobs typically refer to positions within companies that provide managed staffing solutions, IT services, or business process outsourcing. These roles can vary widely, including recruitment specialists, IT consultants, project managers, and administrative support staff. Individuals in Smart Source jobs often support client businesses by supplying skilled personnel or technical expertise on a contract or project basis, helping organizations streamline operations and reduce costs. Smart Source is also the name of several companies specializing in these services, so job responsibilities may vary depending on the employer.

What are the typical responsibilities of a Smart Source specialist?

As a Smart Source specialist, your main responsibilities include sourcing suppliers, negotiating contracts, and ensuring cost-effective procurement for your organization. You'll work closely with cross-functional teams such as finance, operations, and legal to align sourcing strategies with overall business objectives. Collaboration is key, as you may also coordinate with stakeholders to gather requirements and evaluate supplier performance. Regular communication and adaptability are essential for success in this dynamic environment.

What skills and qualifications are needed to thrive as a Smart Source specialist?

To thrive as a Smart Source Specialist, you need strong analytical abilities, sourcing expertise, and a background in procurement or supply chain management, often supported by a relevant bachelor's degree. Familiarity with sourcing software, e-procurement systems, and supplier management platforms is typically required. Excellent negotiation, relationship-building, and communication skills help you stand out in this position. These skills ensure effective supplier selection, cost savings, and smooth procurement processes within the organization.

What is the difference between Smart Source vs Data Entry Clerk?

AspectSmart SourceData Entry Clerk
Required CredentialsBasic computer skills, sometimes certifications in data managementHigh school diploma, basic computer proficiency
Work EnvironmentOffice settings, remote optionsOffice environments, data centers
Employer & Industry UsageUsed across various industries for data collection and managementCommon in administrative, healthcare, and finance sectors
Common Search & Comparison IntentUnderstanding roles in data management and sourcingData entry tasks, job responsibilities

Smart Source typically refers to a data sourcing or management role involving digital tools, while Data Entry Clerk focuses on inputting data into systems. Both roles require basic computer skills, but Smart Source may involve more strategic data handling, whereas Data Entry Clerks perform routine data input tasks.

Infographic showing various Smart Source job openings in California as of August 2026, with employment types broken down into 69% Full Time, 17% Part Time, and 14% Contract. Highlights an 100% In-person job distribution.

AI Technical Lead

NIO

San Jose, CA โ€ข On-site

$192K - $249K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 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