# Senior Software Engineer, Compute Software at Waymo

Waymo is hiring a Senior Software Engineer, Compute Software in Bengaluru, India. It pays INR 6100k-INR 7250k a year and Level rates it Works on AI ●●●○; you can [apply on Waymo](https://jobsbylevel.com/go/f31c9eb8-0995-4854-abb6-f5c8316e1fd0?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Remote (Bangalore, Karnataka, India).

## Details

- Company: [Waymo](https://jobsbylevel.com/companies/waymo)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Remote (Bangalore, Karnataka, India)
- Salary: INR 6100k-INR 7250k
- Posted: September 3, 2026
- Apply: https://jobsbylevel.com/go/f31c9eb8-0995-4854-abb6-f5c8316e1fd0?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-software-engineer-compute-software-at-waymo-aadf6e

## Prepare for this job

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## Description

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 is seeking versatile Software Engineers to join our Compute Software team in Bangalore. As part of a high-impact systems engineering team, you will design, build, and scale the critical software infrastructure and runtime components that connect our autonomous driving technology with next-generation custom silicon and compute platforms. In this role, you will work across the compute system lifecycle, architecting robust C++ software, developing scaleable Hardware-in-the-Loop (HIL) automation harnesses, driving system qualification across hardware revisions, and optimizing software performance for autonomous vehicle platforms. This role follows a hybrid schedule and reports to Staff ML Compiler Engineer. You will: Software Architecture: Design, build, and maintain high-performance C++ software, runtime components, and diagnostic tools supporting custom silicon and compute platforms Test Infrastructure: Build and scale robust Hardware-in-the-Loop (HIL) test harnesses, automated regression frameworks, and CI/CD pipelines across the compute stack (firmware, kernel, runtime, and compilers) Qualification and Reliability: Drive qualification workflows, automated regression suites, and release readiness verification across multiple hardware revisions and platform configurations System Debugging: Troubleshoot and root-cause complex software-to-hardware communication issues, concurrency bugs, and performance bottlenecks across physical lab hardware and emulation environments Cross-functional Collaboration: Partner closely with hardware design, silicon validation, compiler, and vehicle platform teams to translate technical specifications into production-grade software solutions Tooling & Velocity: Develop modular developer tooling, telemetry monitors, and automated workflows to accelerate qualification velocity and software reliability You have: Education & Experience: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related technical field (or equivalent practical experience) with 5+ years of industry experience C++ Proficiency: Strong proficiency in modern C++, backed by solid software engineering fundamentals (data structures, algorithms, object-oriented design, and modular architecture) Systems & Infrastructure: Experience designing systems software, software testing methodologies, or scaleable test automation frameworks Development Environment: Hands-on experience with Linux/Unix environments, build systems, scripting (Python/Bash), and modern CI/CD / version control workflows Debugging & Problem Solving: Strong analytical and debugging skills, with a proven track record of diagnosing complex issues across software/system boundaries Adaptability: Demonstrated curiosity and willingness to learn low-level hardware interfacing, embedded systems concepts, or compiler optimizations on the job We prefer: For the Silicon & Validation Track: Experience with Hardware-in-the-Loop (HIL) setups, automated lab testbeds, or embedded test environments Prior experience in post-silicon validation, System-Level Testing (SLT), ASIC bring-up, or diagnostic software development Exposure to hardware-software interfacing (e.g., Memory-Mapped I/O, device drivers, firmware, POSIX APIs, bare-metal/RTOS) Knowledge

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