Principal Compiler Engineer

As part of our mission to democratize neurotechnology, we are seeking a Principal Compiler Engineer 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 Principal Compiler Engineer , 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

• 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.
• 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.
• 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.
• 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.
• Leadership & Mentorship
• Define engineering standards, best practices, and system-level design docs.
• Mentor engineers in C++, systems programming, compiler-level thinking, and performance engineering.
• 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.
  

Requirements

Education

• 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.
  
  

Skills: software,firmware,llvm,c++,embedded,gpu compiler,kernel,assemblers,low-level system,gpu,device drivers,cuda compiler,cuda,assembly language,warp-level,design,signal,os-level,compiler optimization