Embedded Software Engineer Intern — Real-Time Edge Systems

Waymo LLC

Mountain View (CA)

Hybrid

USD 45,000 - 65,000

Part time

7 days ago
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Benefits offered by this job

Medical insurance
Hybrid work model
On-site meals
401(k) retirement plans
Paid time off

Job summary

Waymo LLC is offering a hybrid internship in Mountain View focusing on embedded software for the Waymo driver. You will work on high-reliability on-vehicle firmware and off-vehicle simulation tooling, with direct impact on safety-critical software.

Applicants should be enrolled in BS or MS programs in computer science, computer engineering, or related fields, and demonstrate a strong foundation in C/C++, Linux, and Python.

Qualifications

  • Strong programming foundation in C or C++, with memory management and data structures.
  • Familiarity with Linux development environments, command-line tools, and Git.
  • Demonstrated problem-solving, debugging skills, and comfort with evolving platforms or prototypes.
  • Hands-on experience in Embedded Systems and Real-Time Programming, including microcontrollers or RTOS.
  • Open Source contributions or active involvement in student engineering teams.

Responsibilities

  • Develop high-quality C/C++ software for on-vehicle firmware and off-vehicle tooling.
  • Contribute to bring-up, validation, and debugging of new compute platforms and hardware interfaces.
  • Write unit tests (e.g., gTest) and SIL fixtures to validate edge cases and robustness.
  • Analyze field data logs and telemetry to identify root causes and improve firmware performance.
  • Collaborate in cross-functional reviews and design discussions within the embedded team.

Skills

C/C++ programming
Linux familiarity
Debugging
Embedded systems
Python scripting
Open source / student projects

Education

Bachelor's or Master's in CS/CE/EE

Tools

gTest

Job description

Waymo LLC is offering a hybrid internship in Mountain View focusing on embedded software for the Waymo driver. You will work on high-reliability on-vehicle firmware and off-vehicle simulation tooling, with direct impact on safety-critical software.

Applicants should be enrolled in BS or MS programs in computer science, computer engineering, or related fields, and demonstrate a strong foundation in C/C++, Linux, and Python.

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