Jobs

Electronic Systems Architecture & Integration Engineer, Robotaxi
Palo Alto, California
·
On-site
·
Full-time
·
Today
What to Expect
This is a high-agency, hands-on role where you will own the architecture and realization of complex electronic systems for Robotaxi. The role spans across systems including autopilot compute, cameras, IMU, infotainment, connectivity, sensing and vehicle communications. You will serve as the technical anchor for the system, driving cross-functional decision-making that bridges the gap between hardware and software. The role demands high-level judgment to translate complex system interactions into clear, safety-first requirements. You will drive component designs from concept through implementation, defining validation strategies, and conducting system testing. Beyond the desk, you will implement prototypes, system bringup on bucks, lead deep-dive debugs, and support factory bringups to create the world’s most efficient and vertically integrated autonomous vehicles.
What You'll Do
- Apply systems engineering principles to distill high-level objectives into quantifiable constraints and actionable requirements for hardware and software teams
- Develop code to solve complex integration problems, develop prototypes, automate workflows, and bridge gaps between subsystems
- Lead discussions among a wide variety of engineers specializing in electrical, mechanical, firmware, manufacturing etc domains
- Execute vehicle-level test plans, utilize data analysis to validate software features and hardware interactions and triage issues
- Actively develop AI-enabled workflows to accelerate decision-making, requirement setting, and feedback analysis
- Be responsible for the overall functional and performance maturity of a system and its features from early prototyping to full deployment
- Lead the triage and debugging of complex hardware and software interactions during design, launch, and deployment
- Exercise critical thinking and leadership to manage system program priorities, support multiple vehicle projects simultaneously, and communicate technical risks to cross-functional stakeholders
What You'll Bring
- Degree in Electrical Engineering, or related field with a focus on embedded systems or equivalent experience
- Fluency in developing code to solve engineering problems (Python, C++, or similar). You must be comfortable building your own tools and simulations
- Demonstrated ability to develop and use AI tools for engineering tasks, including requirement generation, code assistance, and data synthesis
- Strong "systems thinking" approach with the ability to understand n-th order impacts of software and process changes on the wider vehicle architecture
- Exceptional critical thinking, problem-solving, and communication skills. You must be able to lead through influence and judgment
- Relevant industry or academic experience in systems integration, debugging complex subsystems, or software-defined hardware environments is a plus
- Proficiency in data visualization and analysis tools (MATLAB, Python, etc.) to drive engineering decisions
- Understanding the hardware and software development lifecycle, including Functional Safety (HARA, FSC, TSC, System FMEA, FMEDA) and validation processes
- Strong knowledge of one or more topics among embedded systems, such as microcontroller architecture, interfaces e.g. SPI, I2C, vehicle communication networks (CAN, Ethernet), power converters, high performance compute architectures and interfaces, e.g. DDR, PCIe, FPD and electromechanical systems is required; the ability to expand into other topics and integrate these systems is paramount
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
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
PublicA 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
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