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Internship Rtl Design Jobs in Concord, CA (NOW HIRING)

Astranis

FPGA Intern (Fall 2026)

San Francisco, CA · On-site

FPGA Intern (Fall 2026) Internships at Astranis typically last for twelve weeks, and are hourly ... RTL Development for FPGA targeted applications * Work with multiple FPGAs and toolchains

OpenAI

Hardware Tools Engineer

San Francisco, CA · On-site

Required : • Demonstrated ability to build and maintain software (projects, internships, research ... design concepts and the ability to read RTL (Verilog/SystemVerilog) or equivalent hardware ...

OpenAI

Hardware Tools Engineer

San Francisco, CA · On-site

$225K - $445K/yr

Demonstrated ability to build and maintain software (projects, internships, research, open source ... Familiarity with digital design concepts and the ability to read RTL (Verilog/SystemVerilog) or ...

All JobsRtl Design JobsInternship Rtl Design JobsInternship Rtl Design Jobs in Concord, CA

Internship Rtl Design information

See Concord, CA salary details

$7

$17

$25

How much do internship rtl design jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for internship rtl design in Concord, CA is $17.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.11 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the internship RTL design position?

To thrive as an RTL Design Intern, you need a solid understanding of digital design concepts, hardware description languages like Verilog or VHDL, and enrollment in or completion of a degree in electrical or computer engineering. Familiarity with simulation tools such as ModelSim or Synopsys VCS, and basic knowledge of EDA tools and version control systems, is typically expected. Strong analytical skills, attention to detail, and effective communication are highly valued soft skills in this role. These skills ensure you can efficiently contribute to design teams, troubleshoot issues, and communicate technical concepts clearly, all of which are critical for successful hardware development.

What are the typical responsibilities of an internship RTL design?

As an RTL Design Intern, you will usually assist with the design, implementation, and verification of digital circuits using hardware description languages. Your daily work may include writing RTL code, debugging simulation results, collaborating with senior engineers, and participating in code and design reviews. You’ll also help with testbench creation, documentation, and possibly automate design tasks to support the larger engineering team. The role offers valuable hands-on experience and insight into the full design cycle, making it a great learning opportunity for those interested in digital hardware engineering.

What is an internship RTL design?

An Internship in RTL (Register Transfer Level) Design involves working on digital circuit design using hardware description languages like Verilog or VHDL. Interns assist in designing, simulating, and verifying digital circuits, ensuring they meet performance and power requirements. They often work with FPGA or ASIC teams to validate designs and optimize hardware implementations. This role provides hands-on experience in hardware development and exposure to industry-standard tools like Synopsys, Cadence, or Xilinx.

What job categories do people searching Internship Rtl Design jobs in Concord, CA look for? The top searched job categories for Internship Rtl Design jobs in Concord, CA are:
What cities near Concord, CA are hiring for Internship Rtl Design jobs? Cities near Concord, CA with the most Internship Rtl Design job openings:
Internship Rtl Design jobs near you
Infographic showing various Internship Rtl Design job openings in Concord, CA as of July 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $37,260 per year, or $17.9 per hour.

Founding Hardware Engineer

Brahma Consulting Group

San Francisco, CA

Full-time

Re-posted 12 hours ago

Job description

We’re looking for hardware engineers with hands-on experience in chip design workflows—ideally those who have contributed to real-world tapeouts at companies like Apple, NVIDIA, Etched, or leading EDA vendors such as Synopsys or Cadence. Candidates with exposure to AI-for-chip-design initiatives or a strong understanding of modern ML workflows will stand out.


Responsibilities

  • Drive direction and technical leadership across our multi-agent platform and domain-specific hardware knowledge base.
  • Bring a deep understanding of chip design workflows and help shape product roadmap with real-world context.
  • Integrate seamlessly into customer pipelines across RTL, PD, and architectural stages.
  • Track evolving trends in both semiconductor design and AI-assisted design automation.
  • Create internal benchmarks and datasets to rigorously evaluate system performance across RTL, PD, and architectural use cases.


Qualifications

  • Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or a related discipline (interns may be considered for their flair).
  • Hands-on experience in a semiconductor or EDA environment (e.g., NVIDIA, AMD, Intel, Synopsys, Cadence), 1+ years of full-time experience required, 3+ years preferred.
  • Proficiency in scripting (Python, Bash) and experience with automation or tooling for design verification or integration.


SPECIALTY: DI (Design Integration, RTL, Architecture)

  • Proven track record of developing architectures and RTL for hardware blocks or IP.
  • Experience with SystemVerilog, Verilog & SoC design methodologies.


SPECIALTY: PD (Physical Design)

  • Part of leading edge tapeouts (7nm or smaller). Worked on at least one of synthesis, floor planning, place-and-route, physical verification, and timing.
  • Familiar with one of Genus, Innovus, Tempus, Mentor Calibre, Synopsys IC Compiler, or other relevant EDA CAD tool (and associated TCL).


Preferred Experience

  • Experience on AI-for-chip-design initiatives (e.g., at Synopsys, NVIDIA, GoogleDeepMind).
  • Understanding of DFT, power optimization techniques, or low-power design flows.
  • Experience on an IP development team, developing PCIe, PHY, LPDOR, MemoryControllers, NoC, CPU subsystems, or similar.