About the Role

We are seeking a highly skilled and experienced C++ Backend Engineer to join our core technology team. Please note: This is not a traditional web backend role. You will be responsible for designing, developing, and maintaining the critical system services and tools that run directly on our Linux-based EEG Headset. You will work at the intersection of hardware, firmware, and software, architecting robust solutions for real-time data handling, device management, and system operations on an embedded platform. You’ll closely work with key stakeholders on hardware and software to ensure the deployment of a scalable and performant system software.

Roles and Responsibilities

• System Services Development: Architect, develop, package (DEB/APT), deploy, and maintain Linux system services and daemons that interface directly with our EEG hardware.
• Device Integration: Design and implement kernel modules, user-space drivers, and interfaces that enable high-throughput, low-latency data acquisition from EEG sensors.
• Real-Time Data Pipelines: Build and optimize high-frequency data capture, buffering, and streaming pipelines to support real-time signal processing.
• Tooling & Automation: Develop developer tools, test harnesses, and CI/CD pipelines tailored for embedded Linux devices.
• System Architecture: Collaborate with firmware, signal-processing, and frontend teams to define scalable architectures that meet stringent performance and reliability targets.
• Agile Execution: Participate in sprint planning, code reviews, pair programming, and retrospectives, continuously improving our agile processes.

Requirements

• Hands-On Linux Expertise: Deep understanding of Linux OS internals (kernel subsystems, module programming, system services, packaging DEB-based applications).
• C++ Proficiency: 3–4 years of professional experience in modern C++ (11/14/17), including STL, concurrency, memory management, and performance tuning.
• Computer Architecture: Strong grasp of CPU architecture, caching, memory hierarchy, and their impact on real-time performance.
• Real-Time Systems: Proven experience building or optimizing hard/soft real-time or near-real-time systems; knowledge of RT patches or real-time scheduling a plus.
• Signal Processing Foundations: Solid understanding of digital signal processing techniques, filter design, sampling theory, and noise reduction.
• Software Fundamentals: Expertise in data structures, algorithms, multithreading, interprocess communication, and design patterns.
• Agile Practices: Familiarity with Scrum/Kanban, user stories, continuous integration, and test-driven development.

Preferred Skills

• Designs and builds scalable, maintainable systems with a strong focus on reliability and performance.
• Writes clean, modular code and leads code reviews to uphold engineering standards across the team.
• Thinks like a product owner, aligning technical decisions with user impact and business outcomes.
• Mentors peers, collaborates across functions, and communicates complex ideas clearly to any audience.
• Thrives in ambiguity, takes ownership end-to-end, and adapts quickly to shifting startup priorities.

Qualifications

• Bachelor’s or Master’s degree in computer science, information technology, or a related field.
• Certifications or related credentials on Linux fundamentals or related areas is a plus.