Sr. Software Engineer, Linux Software Platforms

  • Palo Alto, CA
  • Posted 60+ days ago | Updated 9 hours ago

Overview

On Site
USD 164,480.00 - 355,920.00 per year
Full Time

Skills

Bluetooth
Wireless Communication
Cellular
USB
Multi-core
GNU
Open Source
User Experience
Hardware Development
Continuous Integration
Continuous Integration and Development
Provisioning
Firmware Development
Embedded Linux
Android Development
Linux
Device Drivers
C
C++
Computer Hardware
DMM
Oscilloscope
Logic Analyzer
Debugging
GDB
JTAG
Computer Science
Computer Engineering
Integrated Circuit
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance

Job Details

Tesla's Software Platforms team provides the foundation on which the in-vehicle user experience is built. We build the Software Platform (Kernel, bootchain, drivers, and lower level userspace platform services) for our innovative Infotainment hardware. This includes high resolution touch displays, high-definition audio, Bluetooth/WIFI/cellular connectivity, USB, cameras, all connected to high performance multi-core processors and GPUs. Our software is based on Linux, GNU toolchain, buildroot, and other open-source projects, delivering the security, capability, and performance demanded by our user experience.

Responsibilities
  • Write well structured, testable, efficient, and maintainable code
  • Integrate software components into a fully functional software system
  • Tailor and deploy software tools, processes and metrics
  • Use existing available hardware in innovative ways to solve problems
  • Board bringup and hardware design validation
  • Deploy software incrementally to meet very fast paced development
  • Develop software tests and continuous integration for your code
  • Support factory provisioning, test, and improvements
  • Assess and document new product feasibility

Requirements
  • Significant software/firmware development experience in production
  • Significant Embedded Linux and/or Android development experience in production
  • Strong Linux system fundamentals
  • Experience developing device drivers
  • Excellent C/C++ coding skills
  • Strong build, debug, and test skills
  • Comfortable using hardware debug tools (DMM, oscilloscopes, logic analyzers) and software debug tools (GDB, KGDB, JTAG)
  • Degree in Computer Science, Computer Engineering, or equivalent experience
  • Experience with board /chip bringup, preferred

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary 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

      $164,480 - $355,920/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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.