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Energy Network Applications Engineer

Tesla

Energy Network Applications Engineer

Tesla

Palo Alto, California

·

On-site

·

Full-time

·

Today

What To Expect
We are seeking a highly motivated and experienced Network Applications Engineer to join the Tesla Energy Applications Engineering team. You will be a subject matter expert in industrial networking for battery energy storage systems and will be responsible for development, testing, and validation of networking features into Megapack and other Tesla Energy projects. You will work with a cross functional team of SCADA, Network Operations, SW/HW development, Project, and Sales Engineers to deliver reliable, cost-effective network solutions. As a key technical member of the cross-functional Applications Engineering team, you will be integral to Tesla's mission of accelerating the world's transition to sustainable energy.

What You'll Do

  • Engage with customers and internal stakeholders and write technical product requirement documents, acceptance criteria, and test plans for new network features and applications to improve Tesla Energy’s product offerings
  • Establish and document clear requirements and development plans for features spanning cross-functional teams. Report on progress to leadership and other stakeholders
  • Develop internal and external technical documentation to educate customers and adjacent teams about new functionalities and compliance requirements
  • Respond to escalations related to networking issues and provide technical support both internally and externally with customers throughout the sales and deployment of Tesla products into new and complex applications
  • Manage and assess reliability of networking solutions by performing failure mode analysis and network modeling. Lead the development of risk management strategies across a cross-functional team


  • What You'll Bring

  • Degree in Electrical Engineering, Computer Engineering, or a related field with 3+ years of experience in networking, preferably in industrial or energy systems, or equivalent experience
  • Demonstrated application of analysis, design, and testing to solve complex engineering problems. Self-motivated and able to work both independently and as part of a cross-functional team
  • Hands-on experience with network solutions including switches, routers, firewalls, transceivers, media converters, and other communications systems in energy projects
  • Experience with network software development processes in cross-functional environments, including familiarity with virtualization platforms and a proven ability to automate prototyping and validation tests with programming languages like Python, C, C++, Rust, or Go
  • Strong understanding of network architecture in large industrial control systems, the OSI model, TCP/IP protocols (mainly layer 2 and layer 3), network traffic analysis, diagnostics, network redundancy protocols (REP, MRP, HSR, PRP, etc.), and time sync protocols (NTP, PTP, etc.)
  • Experience with industrial communication protocols such as Modbus, DNP3, IEC 61850, MQTT, and OPC UA is a plus


  • 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

    $140,000 - $300,000/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.

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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