Development Engineer

3 days ago

New Delhi, India Best NanoTech Full time

Position Summary: Job Title:Senior GPU Compiler Development Engineer Location:Pune / Bengaluru, India Job Type:Full-time Notice Period:Immediate Joiners Preferred (up to 10 days)Job Description: We are seeking an experienced Compiler Engineer to join our GPU Assembler Team, working on tools that power high-performance applications across HPC, Deep Learning, and Autonomous Driving domains. In this role, you will contribute to building industry-leading Assembler, Disassembler, and Code Analysis Tools that help developers worldwide achieve maximum performance and efficiency on current and next-generation GPUs.You will be part of a core engineering team responsible for essential platform components enabling general-purpose GPU computation. The team's tools—widely used across the globe—provide binary analysis, code optimization insights, and high-performance assembly capabilities for critical workloads.Responsibilities: Lead the design and development of the client’s GPU Assembler and Disassembler. Implement advanced binary analysis and instrumentation features (e.g., call-graph generation, register usage analysis, binary patching). Collaborate with GPU architecture, debugger, and profiler teams to understand requirements and deliver new enhancements. Ensure compatibility, reliability, and high-quality code generation by working closely with related component development teams. Engage with customers and partners to gather feedback and drive innovative features into the product roadmap.Required Qualifications: BS/MS in Computer Science, Computer Engineering, or related field. 5+ years of experience in low-level system software development, with 3+ years focused on assemblers, binary analysis tools, or debuggers. Strong analytical skills and proficiency in C/C++ programming. Experience in at least one area of compiler development: feature support, code generation, or compiler infrastructure. Understanding of assembly languages and processor ISAs (GPU ISA is a plus). Knowledge of object file formats (ELF) and debugging formats (DWARF).Preferred Qualifications: Understanding of debugger/profiler tools, binary tools, linker internals, and experience with binary analysis or instrumentation tools (e.g., BOLT). Familiarity with AI-assisted development tools (e.g., Cursor, Windsurf). Knowledge of GPU programming and compute APIs such as CUDA or OpenCL.

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