Software Developer - AI & Embedded Systems for Automotive

Sandalwood Engineering & Ergonomics

• $95K — $115K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong proficiency in C++, JavaScript, and containerization (Docker)
  • Experience with AI/ML model deployment and performance benchmarking
  • Familiarity with Agile development and CI/CD pipelines
  • Ability to produce technical documentation and architectural diagrams
  • Knowledge of data privacy and regulatory compliance in software development

Responsibilities

  • Develop and integrate software components for in-cab communication and modular vehicle systems
  • Design solution architecture documents including context, component, and sequence diagrams
  • Deliver incremental software builds with high unit-test coverage
  • Deploy and benchmark local LLM packages for low-latency inference
  • Create operational runbooks and SOPs for installation, backup, and patching
  • Conduct pilot readiness reviews and knowledge-transfer sessions
  • Ensure compliance with usability, functionality, and data privacy standards

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Holidays)
  • Short Term & Long Term Disability
  • Training & Development
Full Job Description
We are seeking a Software Developer to design and implement AI-driven solutions and embedded communication systems for advanced manufacturing environments. This role involves developing proof-of-concept applications, backend services, and deploying local AI models to optimize production workflows. Responsibilities will include:

Develop and integrate software components for in-cab communication and modular vehicle systems.

Design solution architecture documents including context, component, and sequence diagrams.

Deliver incremental software builds with high unit-test coverage.

Deploy and benchmark local LLM packages (e.g., Llama-based models) for low-latency inference.

Create operational runbooks and SOPs for installation, backup, and patching.

Conduct pilot readiness reviews and knowledge-transfer sessions.

Ensure compliance with usability, functionality, and data privacy standards.

Requirements
• Strong proficiency in C++, JavaScript, and containerization (Docker).
• Experience with AI/ML model deployment and performance benchmarking.
• Familiarity with Agile development and CI/CD pipelines.
• Ability to produce technical documentation and architectural diagrams.
• Knowledge of data privacy and regulatory compliance in software development.
Preferred Skills
• Experience with automotive or manufacturing systems.
• Understanding of MQTT or similar messaging protocols.
• Exposure to local LLM deployment and inference optimization.

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Holidays)
  • Short Term & Long Term Disability
  • Training & Development

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