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트렌딩 기업

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채용Tesla

Supply Chain Manager, Software

Tesla

Supply Chain Manager, Software

Tesla

Palo Alto, California

·

On-site

·

Full-time

·

Today

What To Expect
Tesla is looking for a highly skilled and motivated software royalty and licensing Supply Chain Manager (SCM) to support our component suppliers, software engineering team and hardware SCMs. This role encompasses work on components that are used across all Tesla products, including vehicles, energy, AI, robotics and more. The role will report to the Supply Chain Group Manager and be an active resource to help Tesla engineering unlock key features needed to advance Tesla’s product roadmap.

What You'll Do

  • Own software royalty and licensing sourcing for hardware components with integrated circuit suppliers, most notably in the embedded and wireless / wired connectivity protocol commodities
  • Partner with software engineering teams to identify feature / license needs and put in place appropriate contracts with hardware component suppliers to safeguard development of new software features
  • Lead the negotiations on critical software and licensing contracts, including but not limited to multi-party NDAs, license and royalty agreements, statements of work for software development and other relevant software and licensing agreements
  • Own the software considerations in hardware commodity strategies and merge with the component Supply Chain Managers (SCMs) to put forth a commodity strategy that takes into consideration software requirements
  • Document new feature requests and timeline in a Statement of Work (SOW)
  • Partner with cross functional teams to define IP / royalty strategy for hardware components, determine the appropriate royalty rates for Tesla’s application need and negotiate terms to optimize costs and IP access
  • Collaborate with legal, finance and engineering teams to mitigate risks related to IP infringement, indemnification or supply disruptions in the procurement of hardware components to ensure supply continuity
  • Manage hardware related royalty costs, including forecasting royalty spend, identifying cost-saving opportunities, and regular PO issuance / invoicing to ensure compliance
  • Communicate key supply, cost, and/or licensing issues with management teams.  Develop corrective action plans to mitigate identified risks


  • What You'll Bring

  • 5+ years of experience in supply chain management, software contract negotiations, or commodity management
  • Preferred 3+ years of experience in commodities that have hardware with embedded software and navigating the software requirements and contracts, such as Microprocessors, Microcontrollers, cellular, WiFi, Bluetooth, UWB…etc)
  • Proficient knowledge of technical requirements & design of the product and be able to influence cross functional partners with detailed analysis that supports optimized pricing and product sourcing decisions
  • Excellent negotiator 
  • Bachelor’s degree in Supply Chain, Business, Operations, Engineering and / or equivalent experience or evidence of exceptional ability


  • Benefits
    Compensation and Benefits
    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program


  • Expected Compensation

    $84,000 - $324,000/annual salary + cash and stock awards + benefits

    Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    , Tesla

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    총 지원 클릭 수

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    모의 지원자 수

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    스크랩

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    Tesla 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    3.8

    10개 리뷰

    워라밸

    2.2

    보상

    3.8

    문화

    3.5

    커리어

    4.1

    경영진

    2.8

    65%

    친구에게 추천

    장점

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    단점

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    연봉 정보

    1,398개 데이터

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2개 리포트

    $131,560

    총 연봉

    기본급

    $114,400

    주식

    -

    보너스

    -

    $131,560

    $131,560

    면접 경험

    4개 면접

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts