Waymo

Waymo

Posted via Greenhouse

Software Engineer, System-on-Chip (SoC) Testing

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Bangalore, Karnataka, India
Work arrangement
Hybrid
Employment
Full-time
Education
Bachelor's

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Role Summary

AI-generated

The Software Engineer will work on Waymo’s Compute Team, developing software for automated post-silicon testing of custom system-on-chips and ML/AI accelerators. The role supports hardware validation and performance improvements for the autonomous vehicle compute platform while collaborating with hardware designers.

What You'll Do

  • Design and develop scalable software frameworks for automated post-silicon testing
  • Translate hardware databook instructions into C++ code for hardware/software interaction
  • Build and maintain automation scripts using Python and Bash
  • Debug software-to-hardware communication issues with hardware designers
  • Improve validation software efficiency to reduce test cycle times

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Bachelor’s degree in Computer Science or Electrical Engineering; strong C++ proficiency with pointers, memory management, and low-level system programming; expert-level Python for automation and data analysis; understanding of data structures, algorithms, and object-oriented design; Bash/Unix experience.

Required

  • Bachelor’s degree in Computer Science or Electrical Engineering
  • Strong Proficiency in C++
  • Experience with pointers, memory management, and low-level system programming
  • Expert-level Python skills for automation and data analysis
  • Understanding of data structures, algorithms, and object-oriented design
  • Experience with Bash/Unix environments for toolchain management

Preferred

  • Knowledge of hardware IP blocks (e.g., PCIe, DDR, USB)
  • Experience with JTAG, I2C, or SPI protocols
  • Previous experience in post-silicon validation or embedded systems

Original job description

Content provided by the employer

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate with many other teammates to ensure we design and improve hardware and software for maximum performance. We are a diverse team looking for curious and talented teammates to work on one of the world's highest performance automotive compute platforms.

This role follows a hybrid work schedule and you will report to a Software Engineering Manager.

This position will require the ability to work some hours that align with the team in the Pacific Time zone on an as needed basis.

You will:

  • Design and develop scalable software frameworks for automated post-silicon testing of custom system-on-chips (SoC) and ML/AI accelerators 
  • Translate hardware databook instructions (register maps, timing diagrams) into robust C++ code for hardware/software interaction
  • Build and maintain sophisticated automation scripts using Python and Bash to manage complex test sequences
  • Debug software-to-hardware communication issues, working closely with hardware designers to ensure register-level accuracy
  • Improve the efficiency of existing validation software to reduce test cycle times

 

You have:

  • Bachelor’s degree in Computer Science or  Electrical Engineering
  • Strong Proficiency in C++: Experience with pointers, memory management, and low-level system programming is mandatory
  • Advanced Scripting: Expert-level Python skills, specifically for automation and data analysis
  • Software Engineering Fundamentals: Solid understanding of data structures, algorithms, and object-oriented design
  • Experience with Bash/Unix environments for toolchain management
  • Willingness to Learn Hardware: While a background in silicon is helpful, the primary requirement is the ability to apply rigorous software engineering principles to hardware validation

 

We prefer:

  • Knowledge of hardware IP blocks (e.g., PCIe, DDR, USB)
  • Experience with JTAG, I2C, or SPI protocols.
  • Previous experience in post-silicon validation or embedded systems

 

The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.  Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
₹3,750,000₹4,460,000 INR
Waymo

About the company

Waymo

Large Enterprise

Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.