RTL Design Graduate Intern
Tesla — India
₹6–10 LPA (HireSetu estimate) · Entry level · Freshers eligible · Full-time · onsite
HireSetu listing reference 7fca23 — confirm requirements below, then apply on the employer site.
Quick answer: A graduate internship on AI accelerator silicon, onsite in India, with fresh graduates explicitly welcome. The level is entry, the technical bar is not: Verilog RTL, microarchitecture specs, and performance, power and area tradeoffs.
From Tesla's job posting
Job description
The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla’s machine learning capabilities.
Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.
The Tesla AI Hardware team is looking for a RTL Design Graduate Intern to work on industry leading AI accelerators. Candidate is expected to implement and document microarchitecture specifications, define system-level functional requirements, and deliver high quality design to achieve project targets.
What You’ll Do
Micro-architecture specification and design.
Deliver Performance, Area and Power-efficient RTL design.
Specification, microarchitecture, and RTL design of complex subsystems and SOC.
Work with the architecture and software teams to achieve design targets.
Balance performance, power, safety, and cost requirements.
Trade-off functional, physical and performance requirements.
Work with cross-functional teams, including implementation, verification, and performance engineers.
Design for synthesis.
What You’ll Bring
High performance (low latency, high bandwidth) design techniques
Low power microarchitecture techniques
Verilog RTL logic design.
Experience with simulators and waveform debug tools.
Knowledge of logic design principles, including timing and power implications.
Degree in Electrical Engineering, Computer Engineering, or equivalent experience.
Relevant internship experience is a plus
Familiarity with relevant IEEE standards and hardware interfaces is a plus.
Experience with high speed SERDES or SOC design is a plus.
Text from Tesla's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
Freshers screened on fundamentals
The degree line is broad: electrical engineering, computer engineering or equivalent. Relevant internship experience is only a plus, and the posting says fresh graduates are welcome, which is rare for chip design work at this level. Years on a CV are not the screen here.
What is: whether you can discuss RTL in terms of latency, bandwidth and power. SerDes and SoC exposure are pluses, as is familiarity with hardware interfaces and IEEE standards. For a fresher, none of that is required. Weak logic design fundamentals are what gets exposed in a first technical conversation.
PPA talk before syntax
Revise the timing and power implications of logic design, low-power microarchitecture techniques, and where area gets spent. High performance on this team means low latency and high bandwidth, which in practice comes down to pipelining, buffering and bus widths. Be able to sketch a tradeoff you made in a project and explain why.
Simulators and waveform debug tools are listed as a requirement on their own. Reading a waveform to find why a signal arrived late or wrong is a daily habit in this work, and it is a different skill from writing clean Verilog. If your projects never left a testbench, spend time in a waveform viewer.
The spec comes first
Specification and documentation sit at the top of the responsibilities, ahead of the RTL itself. You would write microarchitecture specs and define system-level functional requirements, then defend the design alongside architecture, software, verification and physical implementation teams. Design roles at this level carry as much writing and negotiation as coding.
Ask which accelerator block or subsystem you would be placed in, and who you would report to. AI chip teams split work by block, and the day-to-day differs a lot between them.
Drafted with AI from Tesla's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open Tesla's careers site with the Apply button.
- Follow the application steps on the site and upload your resume.
- Keep the confirmation email or application number for follow-up.
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