C++ Developer

Aptonet

Detroit (MI)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Aptonet is seeking a Senior Software Engineer to lead core software infrastructure for AR HUD systems. You will own low-level C++ development, real-time rendering integration, and vehicle data ingestion spanning hardware and software interfaces.

Join a multidisciplinary team to drive latency-aware designs, validate timing behavior, and push prototypes toward production-ready systems with hardware-aware optimizations.

Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, or equivalent
  • 7+ years of experience in software engineering or equivalent impact
  • 7+ years of experience in C++ development for performance-critical systems
  • 7+ years of experience with system-level programming (multi-threading, memory, IPC)
  • 7+ years of end-to-end ownership of a complex software subsystem
  • 7+ years integrating software with hardware, sensors, or embedded platforms
  • 7+ years of experience in latency-sensitive or real-time applications

Responsibilities

  • Design and develop low-level C++ software for AR HUD pipelines and platform infrastructure
  • Integrate platform software with real-time AR rendering stacks (Qt/OpenGL/Vulkan)
  • Interface with vehicle data pipelines to ingest signals and localization data
  • Translate vehicle signals into real-time AR visualization inputs
  • Collaborate with labs to stabilize demo and test systems
  • Define validation strategies for latency and sensor-to-render synchronization
  • Maintain stability under real-world conditions and optimize bottlenecks
  • Work with optics, camera, and ADAS teams to drive technical decisions
  • Leverage AI-assisted coding tools to accelerate development and testing
  • Utilize Unity/Unreal or custom engines to inform shader development and rendering

Skills

C++ development
System-level programming
Multi-threading
Real-time applications
Performance optimization
Linux/UNIX
AR/HUD rendering

Education

Bachelors degree in CS or EE

Tools

Qt
OpenGL
Vulkan

Job description

Seeking a Senior Software Engineer to lead development of core software infrastructure for next-generation Augmented Reality (AR) Head-Up Display (HUD) systems.

This role focuses on low-level systems engineering, platform architecture, hardware and software integration, vehicle data ingestion, and real-time AR rendering pipelines. The engineer will work across the stack from vehicle interfaces and sensor inputs to rendering integration and system validation to help transition advanced prototypes toward production-intent systems.

What You'll Do...
  • Design and develop low-level, high-performance C++ software supporting AR HUD pipelines, building and maintaining modular platform infrastructure enabling including rendering pipelines, sensor/camera ingestion, and vehicle signal integration while debugging and optimizing memory for threading, and real-time performance constraints.
  • Integrate platform software with real-time AR rendering stacks (e.g., Qt / OpenGL / Vulkan), supporting multi-view / autostereoscopic rendering pipelines while ensuring synchronization between rendering outputs and sensor inputs (eye tracking, cameras).
  • Interface with vehicle data pipelines (CAN/Ethernet) to ingest ADAS signals, navigation and localization data, vehicle state information, and sensor inputs such as LiDAR.
  • Translate vehicle signals into real-time AR visualization inputs and support integration and debugging in vehicle and bench environments.
  • Collaborate with lab and prototype teams to stabilize demo and test systems.
  • Define and execute validation strategies for latency, timing behavior, and sensor-to-render synchronization.
  • Maintain stability under real-world conditions (thermal, vibration, sunlight) and identify and resolve system-level bottlenecks.
  • Act as a technical owner across software and hardware boundaries, working closely with optics experts, camera experts, the ADAS team, and suppliers to drive technical decisions, evaluate tradeoffs, and mitigate technical risks.
  • Leverage AI-assisted coding tools (e.g., GitHub Copilot, LLM-based code assistants) to accelerate C++ development, refactoring, and unit test generation for performance-critical systems.
  • Leverage 3D rendering engine coding experience (e.g., Unity, Unreal Engine, or custom rendering engines) to inform shader development, scene composition, and real-time rendering optimizations within the Qt/OpenGL/Vulkan AR HUD pipeline.
You'll have...
  • Bachelors degree in Computer Science, Electrical Engineering, or equivalent combination of relevant education and experience.
  • 7+ years of experience in software engineering or equivalent demonstrable impact
  • 7+ years of experience Strong expertise in C++ development for performance-critical systems
  • 7+ years of experience with system-level programming (multi-threading, memory, IPC, etc.)
  • 7+ years of experience with end-to-end ownership of a complex software subsystem, including architectural definition and implementation.
  • 7+ years of experience integrating software with hardware, sensors, cameras, vehicle systems, or embedded platforms.
  • 7+ years of experience in work on latency-sensitive or real-time applications with an understanding of performance tradeoffs and constraints.
Even better, you may have...
  • PhD in Computer Science or related field
  • Experience with graphics or rendering systems (Qt, OpenGL, Vulkan)
  • Exposure to AR/VR, HUDs, or display systems
  • Experience with vehicle networks (CAN, Ethernet)
  • Familiarity with ADAS data pipelines or perception systems
  • Experience in prototype-to-production technology development environments
  • Linux or UNIX system experience.
  • Experience with real-time rendering pipelines, shader development, and GPU performance optimization in a shipped game or interactive entertainment product
  • Experience shipping performance-critical, latency-sensitive software in consumer hardware environments (console, PC, or mobile), demonstrating comfort with hardware constraints similar to automotive embedded systems
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