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Technical Program Manager, Optimus Hardware

Tesla

Technical Program Manager, Optimus Hardware

Tesla

Palo Alto, California

·

On-site

·

Full-time

·

Today

What To Expect
The Optimus (Tesla Bot) team is seeking an experienced Technical Program Manager to drive hardware development. The Technical Program Manager’s core responsibility will be managing execution for new hardware development, testing, industrialization, design improvements, and industrialization. This individual will support the Engineering team by organizing and tracking all relevant schedules and metrics across active hardware projects. They will also be the team’s central owner for specific hardware subsystem project plans, and work with Global Sourcing, Supplier Industrialization, and Tesla suppliers to ensure production demand is met and drive escalation and resolution for any risks to schedule. In addition to exceptional organization skills, the TPM must also utilize strong technical skills to work in depth with multiple engineering teams to organize technical reviews, testing, and validation planning. They are expected to have a working understanding of electromechanical actuator design, testing, manufacturing, assembly, and a clear understanding of relevant technical risks.

What You'll Do

  • Create, own, and manage design, build, industrialization, and test plans across multiple hardware development projects and communicate and resolve issues
  • Central point of contact for specific hardware development, testing, and industrialization plans
  • Coordinate with cross functional teams on multiple continents to prioritize and manage high-impact changes and drive improvements to all relevant project schedules
  • Track and maintain key components and program metrics including cost, reliability, mass, and performance to schedule
  • Lead critical priority reaction plans for design and quality risks
  • Lead development of design, testing and validation timelines, DFMEAs, and DFMs
  • Manage prototype sourcing and logistics for early-stage program needs
  • Facilitate logistics and tracking for priority projects including shipment of prototype parts and test units amongst internal, supplier, and external test sites
  • Conduct regular reviews with senior management to present project status updates.
  • Collaborate with Engineering Part and System owners on Product updates and ensure all changes are well-documented and efficiently implemented


  • What You'll Bring

  • Degree in Mechanical Engineering or equivalent, or the equivalent in experience and evidence of exceptional ability
  • 3+ years of experience in project management for complex electromechanical products
  • Extensive background in sourcing electric motors, geartrains, castings, and long lead time products
  • Proactive, highly organized, and detail oriented, with strong technical communication ability - able to drive improvements across a global interdisciplinary team
  • Experience analyzing product metrics, business cases, and schedules for large scale product implementation


  • 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

    $96,800 - $217,200/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.

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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts