Mid Level RTL Design Engineer Jobs
Mid level rtl design engineer jobs go to engineers ready to own complete design blocks, review junior work, and make implementation decisions with limited oversight. Openings run across on-site, hybrid, and remote settings in Electronics & Hardware, Technology & Software, and Artificial Intelligence, with employers like Google, Apple, and Qualcomm hiring at this level now.
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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. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's AI 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 an ASIC RTL Design Engineer specializing in interconnect and memory systems to drive the development of next-generation AI accelerators. In this role, you will focus on the critical data path elements of custom ASICs, including Network on Chip (NoC) architectures, DMA engines, memory controllers, Memory Management Units (MMUs), arbiters, and AXI protocol implementations. You will collaborate closely with system architects, verification engineers, physical design teams, and software/firmware developers to deliver high-performance, power-efficient designs that enable massive-scale AI training and inference. This position is based in Palo Alto, CA, or Austin, TX and offers the opportunity to work on cutting-edge hardware that powers Tesla's autonomous driving and AI initiatives.
What You'll Do
- Architect, design, and implement RTL (Verilog/SystemVerilog) for high-performance interconnect and memory subsystems, including NoC topologies, DMA controllers, and AXI-based data paths optimized for AI workloads
- Develop and document microarchitecture specifications for memory controllers, MMUs, and arbiters to ensure low-latency, high-bandwidth data movement across SoC components
- Define system-level functional requirements for SoC data paths, focusing on throughput, scalability, and integration with compute accelerators
- Perform design analysis, including timing closure, power optimization, and area efficiency, for high-performance memory and interconnect blocks
- Collaborate with cross-functional teams to integrate interconnect IP into full-chip designs, debug issues, and support silicon bring-up and validation
- Contribute to performance modeling and simulation of data path elements to meet aggressive AI hardware metrics
- Stay abreast of industry trends in high-performance ASIC design and propose innovations for interconnect and memory efficiency
What You'll Bring
- Degree in Electrical Engineering, Computer Science, or equivalent experience
- 3+ years of hands-on RTL design experience in SoC interconnect, memory systems, or data path components for custom ASICs
- Strong proficiency in Verilog or SystemVerilog for complex digital design
- Solid understanding of AXI protocol and high-performance design techniques (e.g., pipelining, clock domain crossing)
- Experience with synthesis, timing analysis, and linting tools (e.g., Synopsys Design Compiler, SpyGlass)
- Ability to work in a fast-paced, collaborative environment with strong problem-solving skills
- Proven track record in Network on Chip (NoC) design, including topology selection, routing algorithms, and QoS mechanisms
- Deep expertise in DMA engine design, memory controller architectures (e.g., DDR/LPDDR interfaces), MMUs, and priority arbiters for multi-master systems
- Experience with high-performance SoC data path optimization for AI/ML accelerators or HPC applications
- Familiarity with verification methodologies (e.g., UVM) and scripting (Python/Perl) for automation
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.
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.
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Mid Level RTL Design Engineer Jobs: Frequently Asked Questions
How do I get a mid level rtl design engineer job?
Position yourself by highlighting end-to-end ownership of RTL design blocks, from architecture to tape-out signoff. Emphasize proficiency with hardware description languages like Verilog or SystemVerilog, familiarity with synthesis and timing closure, and any cross-functional collaboration with verification or physical design teams. Applications that demonstrate you have independently driven a design feature to completion, rather than assisted on one, stand out at this level.
Which companies hire mid level rtl design engineers?
Companies hiring mid level rtl design engineers right now include Google, Apple, and Qualcomm, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes primarily from semiconductor manufacturers, fabless chip designers, and technology companies building custom silicon for data center, mobile, or automotive applications.
Are there remote mid level rtl design engineer jobs?
Yes, though the role is more on-site-heavy than many engineering disciplines due to lab access and EDA tool licensing constraints. About 5% of mid level rtl design engineer openings are remote or hybrid as of July 2026, with hybrid arrangements most common at larger semiconductor employers who offer flexible scheduling around core collaboration hours.
How do I move up to a mid level rtl design engineer role?
Growth from entry level to mid level in RTL design comes from accumulating full-cycle ownership rather than task-level contributions. Over your first few years, focus on taking complete responsibility for a design block, learning to read and close timing reports independently, building familiarity with CDC and lint analysis, and contributing to design reviews in a substantive way. Measurable outcomes, such as a block that taped out on schedule, carry more weight than breadth of exposure alone.
Which industries hire the most mid level rtl design engineers?
Mid Level rtl design engineer roles concentrate in Electronics & Hardware, Technology & Software, and Artificial Intelligence, based on current listings on Migrate Mate as of July 2026. Those sectors drive hiring at this level because they are actively developing proprietary silicon, whether for AI accelerators, communications infrastructure, or consumer electronics, and need engineers capable of executing complex blocks with decreasing supervision.