Job Description

As part of our mission to democratize neurotechnology, we are seeking a Senior Engineer - Compiler Development to lead the design of performance-critical, low-level system software that sits close to our hardware stack and powers real-time Brain-Computer Interface (BCI) applications.

This role is ideal for someone who has deep expertise in C++ systems programming, OS/kernel fundamentals, compiler/toolchain awareness, and hardware-software integration, and who thrives at the intersection of neuroscience, embedded systems, and scalable real-time computing.
Role Overview
As Senior Engineer - Compiler Development, you will architect, implement, and optimize the core system layer from device drivers and real-time data pipelines to system services and API abstractions. You will work across:

Compiler and toolchain optimization OS-level and kernel subsystems Real-time signal acquisition High-performance C++ runtimes Embedded and edge-level architectures
You will provide strong technical leadership, mentor engineering teams, and collaborate closely with hardware, firmware, algorithms, and AI researchers.

Key Responsibilities
1. System Architecture & OS-Level Design

Architect modular, extensible system frameworks that interface directly with hardware and firmware. Define low-level hardware/firmware/kernel/driver/API interfaces. Make critical architectural decisions balancing latency, throughput, and reliability. Drive compiler/toolchain optimization strategies for performance-critical paths.
2. Core Low-Level Development

Develop high-performance C++14/17/20 system components with a focus on: Low-latency, real-time execution Multi-threading, synchronization, lock-free structures Memory management, allocation strategies, and cache efficiency Implement: Device drivers Communication protocols Real-time signal acquisition and streaming pipelines Build OS-level abstractions and libraries that expose hardware capabilities to higher-level SDKs.
3. Hardware-Software & Kernel Integration

Collaborate with hardware teams on embedded interfaces and sensor data pipelines. Optimize software performance on: Embedded Linux RTOS environments FPGAs and edge processors Work with kernel subsystems, interrupts, I/O scheduling, and low-level performance tuning.
4. Performance, Profiling & Reliability

Profile and optimize systems across CPU/GPU/accelerator architectures. Use tools such as: gdb, perf, valgrind, ltrace/strace, eBPF. Implement production-grade reliability, fault-tolerance, recovery, and watchdog mechanisms.
5. Leadership & Mentorship

Define engineering standards, best practices, and system-level design docs. Mentor engineers in C++, systems programming, compiler-level thinking, and performance engineering.
6. Research & Innovation Alignment

Stay current with cutting-edge work in: OS internals and real-time computing Compiler optimizations (LLVM, Clang, GCC) High-performance systems programming Translate algorithmic and neural-signal research into efficient runtime implementations.
RequirementsEducation

Master's in Computer Science/Engineering or related field. Exceptional Bachelor's candidates may be considered.
Experience

9+ years in system-level C++ development, including OS-level, kernel, or compiler-adjacent work. Proven track record building complex, production-grade low-level systems.
Core Technical Skills

Expert C++ (C++14/17/20): STL, templates, design patterns, metaprogramming. Strong understanding of: Multi-threading & concurrency Lock-free design and synchronization Memory models, allocators, and performance tuning Experience with: Linux Kernel development, device drivers, system calls, interrupts Embedded Linux or RTOS Firmware interfaces, hardware bring-up Familiarity with toolchains and compilers (LLVM, Clang, GCC). Strong debugging and profiling chops (gdb, perf, valgrind, sanitizers). Experience with streaming, real-time signal processing, or high-frequency data acquisition.
Bonus / Good to Have

GPU programming (CUDA, OpenCL, Vulkan compute). Rust or Python integration with C++ pipelines. Experience in neurotech, robotics, IoT, or any real-time hardware domain. Knowledge of DSP, numerical methods, or ML-based signal processing.
Soft Skills

Strong systems thinking and ability to understand large, complex architectures. Exceptional problem-solving under tight latency/performance requirements. Cross-functional collaboration with hardware, AI, and product teams. Excellent communicator who documents clearly and leads by example.
Job Types: Full-time, Permanent

Pay: ₹2,000,000.00 - ₹3,500,000.00 per year

Benefits:

Health insurance Provident Fund Work from home
Work Location: In person