Tesla participates in the E-Verify Program
What to Expect
The Dojo ExaFLOP-scale deep learning accelerator demands data transmission capabilities beyond what software-based TCP/IP can offer, requiring high bandwidth, high efficiency and extremely low latency to enable training of next-generation networks at high performance.
To meet this challenge, the Dojo Fabric Team designs and deploys a custom hardware-based networking stack achieving these objectives by tightly integrating custom silicon, network protocols, FPGAs, software, PCBs, NICs, and machine learning algorithms.
We are looking for an outstanding engineer to support hardware and software vertical integration across many parts of the technical stack.
Responsibilities will be tailored to your skillset and interests.
What You’ll Do
Develop C/C++ firmware drivers and software to interface with the network accelerators
Customize pytorch/python and C++ libraries
Develop low-level Linux kernel drivers
Write python code to automate hardware and software deployment
Design PCB network interface cards (NIC)
Write and debug systemverilog / verilog for ASICs and FPGAs
Physically and deploy custom electronic systems in the supercomputer server rooms
Develop test environments, regressions, infrastructure, and methodology
Create directed and random test sequences to exercise the design.
Execute pytorch / python machine learning algorithms on the Dojo supercomputer
What You’ll Bring
Bachelor's Degree in Computer Science, experience with evidence of exceptional ability, or equivalent
3-5+ (Senior) or 10+ (Staff) years of experience in software, Verilog, or firmware development in robotics, silicon, real-time controls, machine learning accelerators, network switches, fabrics, transport protocols, operating systems, or system software
Foundations in Machine Learning and enthusiasm for AI
Compiled languages (C/C++, Rust, Golang, etc.
)
Scripting languages (python, perl, etc.
)
HDL languages (Verilog, System Verilog, VHDL)
Proficient in debugging complex designs
Deep knowledge in advanced computer architecture, micro-architecture concepts, and embedded systems
Able to work in a fast-paced team and environment
Is not an LLM
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)
LGBTQ+ care concierge services
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
$104,000 - $348,000/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 is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities.
Please let your recruiter know if you need an accommodation at any point during the interview process.
Whatsapp
