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Automotive Software Engineer Remote Jobs in California

Senior Flight Software Engineer (Remote)

Los Angeles, CA ยท On-site +1

$185K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... flight software experience * Bachelor's degree in CS, EE or equivalent. * Strong proficiency in programming languages such as Python, C++, Rust. * Experience with real time systems running on ...

Software Engineer

San Francisco, CA ยท On-site +1

  • Medical

  • PTO

B achelor's degree in Computer Science, Software Engineering, or a related field. * P roven ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

Principal Software Engineer

Mountain View, CA ยท On-site +1

$159K - $213K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote: This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit ... of automotive infotainment application software using Kotlin/C++/Rust/etc... Work cross ...

Mid Level Software Engineer

Irvine, CA ยท Remote

$100K - $115K/yr

Mid Level Software Engineer Full-time Remote Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Mid Level Software Engineer You will contribute to ...

Showing results 21-40

Automotive Software Engineer Remote information

What are some common challenges faced by remote automotive software engineers, and how can they be addressed?

Remote Automotive Software Engineers often encounter challenges such as collaborating across different time zones, maintaining clear communication with hardware teams, and ensuring secure access to proprietary vehicle systems. To address these, companies typically use robust project management tools, schedule regular video meetings, and implement secure remote development environments. Building strong documentation habits and proactive communication also help ensure alignment with cross-functional teams, making remote work both productive and rewarding.

What are the key skills and qualifications needed to thrive as an automotive software engineer remote?

To thrive as an Automotive Software Engineer (Remote), you need a solid background in computer science, embedded systems, and automotive protocols, typically backed by a relevant degree and experience in automotive software development. Familiarity with programming languages like C/C++, AUTOSAR, CAN, and tools such as MATLAB/Simulink, as well as knowledge of software development life cycles and industry standards (e.g., ISO 26262), is essential. Strong problem-solving abilities, collaboration, and effective communication are crucial soft skills for remote teamwork and complex project delivery. These skills ensure the delivery of reliable, safe, and innovative automotive software solutions in a distributed work environment.

What does an automotive software engineer do when working remotely?

An Automotive Software Engineer working remotely designs, develops, tests, and maintains software systems used in vehicles, such as infotainment systems, ADAS (Advanced Driver-Assistance Systems), and vehicle control units. They typically collaborate virtually with other engineers and stakeholders to ensure software quality and compliance with automotive standards. Remote engineers use tools for code versioning, debugging, and testing, and may need to simulate vehicle environments on their local machines or connect to remote testing hardware. Effective communication and self-management are crucial for success in this remote role.

What are the most commonly searched types of Automotive Software Engineer jobs in California?

The most popular types of Automotive Software Engineer jobs in California are:

What cities in California are hiring for Automotive Software Engineer Remote jobs?

Cities in California with the most Automotive Software Engineer Remote job openings:

AI Software Engineer Expert - Remote

YO AI Labs

Palo Alto, CA โ€ข Remote

$100 - $200/hr

Part-time

Posted 4 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.