# Senior Software Engineer, Compute Software at Waymo > India · Senior · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Awaymo%3A8173977 (read 2026-11-06). ## Facts (observed) - Company: [Waymo](https://alderhq.app/companies/waymo) - Location text: Bangalore, Karnataka, India; Bangalore (IN-BLR-BCPC) - Where it can be done from (inferred): India (evidence: "Location lists "bangalore"") - Posted: 2026-09-03 (63 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://careers.withwaymo.com/jobs?gh_jid=8173977 - Skills listed (inferred): Python, C++ ## Pay and sponsorship - Posted pay: ₹61L–₹72.5L per year (from the listing's pay field) - Market band for similar posted roles (Bengaluru, n 4): p25 ₹40.9L, median ₹53.8L, p75 ₹65.4L - H-1B filings at this company for similar roles, FY26: 190, median offered wage $205k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Licensed UK sponsor: registered as "Waymo UK Ltd" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) 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 of standard hardware communication protocols (e.g., PCIe, I2C, SPI, UART, JTAG) or compute IP blocks (DDR, DMA) --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Awaymo%3A8173977 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.