Join our company HIL Team
Where Real-World Driving Meets Real-Time Simulation
Be part of the engineering powerhouse driving the validation of our companys autonomous vehicle technology. Our Hardware-in-the-Loop (HIL) team, part of the Simulation Group, builds the next generation of massive scale, high-fidelity simulation platforms. We bring complex, real-world sensor data into a controlled environment, enabling faster, safer, and deterministic AV development.
The HIL platform functions as a massive, ultra-low-latency replay and simulation engine. It allows developers to stream precise driving scenarios through the full autonomous stack-from perception to control-under tight real-world constraints.
What will your job look like?
Design & Architect: Build a high-performance, real-time data replay platform, leveraging modern systems languages (C++23/Rust) to handle massive data throughput.
Engineer the Core Engine: Develop the synchronization and data-injection engine that streams multi-gigabit sensor and vehicle signals with sub-millisecond precision.
Solve Complex Systems Challenges: Tackle deep software/hardware integration problems across networking, latency, determinism, and data serialization.
Deep Performance Optimization: Profile and debug Linux systems from user space to kernel space, identifying and eliminating bottlenecks in memory subsystems, I/O, and schedulers.
Collaborate Across Domains: Work closely with algorithm teams, systems engineers, and infrastructure architects to deliver scalable, reliable production solutions.
Where Real-World Driving Meets Real-Time Simulation
Be part of the engineering powerhouse driving the validation of our companys autonomous vehicle technology. Our Hardware-in-the-Loop (HIL) team, part of the Simulation Group, builds the next generation of massive scale, high-fidelity simulation platforms. We bring complex, real-world sensor data into a controlled environment, enabling faster, safer, and deterministic AV development.
The HIL platform functions as a massive, ultra-low-latency replay and simulation engine. It allows developers to stream precise driving scenarios through the full autonomous stack-from perception to control-under tight real-world constraints.
What will your job look like?
Design & Architect: Build a high-performance, real-time data replay platform, leveraging modern systems languages (C++23/Rust) to handle massive data throughput.
Engineer the Core Engine: Develop the synchronization and data-injection engine that streams multi-gigabit sensor and vehicle signals with sub-millisecond precision.
Solve Complex Systems Challenges: Tackle deep software/hardware integration problems across networking, latency, determinism, and data serialization.
Deep Performance Optimization: Profile and debug Linux systems from user space to kernel space, identifying and eliminating bottlenecks in memory subsystems, I/O, and schedulers.
Collaborate Across Domains: Work closely with algorithm teams, systems engineers, and infrastructure architects to deliver scalable, reliable production solutions.
Requirements:
6+ years of experience in backend systems, distributed systems, or high-performance software engineering.
Strong Systems Fundamentals: Excellent command of memory models, concurrency, resource management, and execution lifecycle (using systems-level languages like C++ or Rust).
Deep Linux Expertise: Strong hands-on knowledge of Linux environments, operating system internals, and performance tooling (perf, gdb, network diagnostics).
Data & Network Fluency: Experience designing low-latency software, handling high-throughput data streams, and managing network-level protocols.
Analytical Problem Solving: A proven track record of diagnosing root causes for complex, systemic issues-whether they lie in code, memory, or I/O infrastructure.
Bonus Points:
Experience with low-level Linux internals, embedded systems, or custom driver communication.
Familiarity with high-throughput DMA technologies (e.g., QDMA) or custom
hardware acceleration.
Background in robotics, automotive systems, simulation architectures, or massive-scale data processing pipelines.
6+ years of experience in backend systems, distributed systems, or high-performance software engineering.
Strong Systems Fundamentals: Excellent command of memory models, concurrency, resource management, and execution lifecycle (using systems-level languages like C++ or Rust).
Deep Linux Expertise: Strong hands-on knowledge of Linux environments, operating system internals, and performance tooling (perf, gdb, network diagnostics).
Data & Network Fluency: Experience designing low-latency software, handling high-throughput data streams, and managing network-level protocols.
Analytical Problem Solving: A proven track record of diagnosing root causes for complex, systemic issues-whether they lie in code, memory, or I/O infrastructure.
Bonus Points:
Experience with low-level Linux internals, embedded systems, or custom driver communication.
Familiarity with high-throughput DMA technologies (e.g., QDMA) or custom
hardware acceleration.
Background in robotics, automotive systems, simulation architectures, or massive-scale data processing pipelines.
This position is open to all candidates.
