Job Title: Software Researcher – AI & Machine Learning (Embedded Systems)
Location: Warren, MI
Work Arrangement: Fully Onsite
Employment Type: Contract
Duration: 2 weeks (Based on June 21, 2026 – July 3, 2026 timeline)
Pay Range: $40/hr. to $41.85/hr. on W2 | $48.57/hr. to $54.40/hr. on C2C
Domain: Automotive | AI/ML & Embedded Systems
Application Deadline: June 15, 2026
SKILLS REQUIRED:
Primary (Must-Have):
�Expertise with Android Automotive OS, Android Open Source Project (AOSP), and Google Automotive Services SDK
�Strong development proficiency in Kotlin, Java, and core C++
�Deep technical expertise in Machine Learning (ML) architectures and Large Language Models (LLMs)
�Solid background in Embedded Systems Architecture, Design, and resource-constrained optimization
�Master’s Degree (MS) or Ph.D. in Computer Science, Computer Engineering, Software Engineering, or a highly related technical field
Secondary (Good to Have):
�7+ years of professional software research or advanced engineering experience
�Experience evaluating hardware-accelerated ML workloads on microcontrollers or automotive ECUs
�Strong analytical communication skills to present research insights and user feedback for software refinements
POSITION OVERVIEW
We are seeking an Elite Software Researcher specialized in AI & Machine Learning to join an advanced engineering engagement fully onsite in Warren, MI. This research-driven role focuses heavily on investigating cutting-edge methodologies for efficiently deploying and running AI/ML architectures on embedded automotive computing platforms. The successful candidate will navigate the stringent constraints of resource-limited systems, optimizing runtime performance, power efficiency, and model execution speeds to influence future automotive technology roadmaps.
ROLES & RESPONSIBILITIES
�Investigate, prototype, and refine innovative methods for deploying complex Machine Learning and Large Language Models (LLMs) onto constrained embedded computing platforms.
�Optimize the execution performance of algorithms within the strict memory, thermal, and processing boundaries of automotive-grade hardware architectures.
�Develop, modify, and test system-level code utilizing Android Automotive OS, AOSP frameworks, Kotlin, Java, and C++ environments.
�Analyze system integration touchpoints and compile technical research feedback to drive future software refinements and architectural enhancements.
�Partner with cross-functional engineering teams to evaluate the intersection of hardware capabilities and next-generation automotive AI applications.
BENEFITS
Medical | Dental | Vision | 401(k)
EEOC Compliance
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.