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Technical Program Assistant Jobs in Detroit, MI (NOW HIRING)

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Technical Program Assistant information

See Detroit, MI salary details

$18.8K

$43.8K

$75.7K

How much do technical program assistant jobs pay per year?

As of Jun 11, 2026, the average yearly pay for technical program assistant in Detroit, MI is $43,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,100.00 and $43,600.00 per year, depending on experience, location, and employer.

What is the salary of an IT assistant?

The salary of an IT assistant typically ranges from $35,000 to $55,000 per year, depending on experience, location, and the specific employer. Entry-level positions may start lower, while those with specialized skills or certifications can earn higher wages.

What are Technical Program Assistants?

Technical Program Assistants provide administrative and technical support to program managers and teams in organizations that run technical projects or initiatives. Their responsibilities often include scheduling meetings, maintaining documentation, assisting with project tracking, and coordinating communication between team members. They may also handle basic technical tasks, data entry, and help with reporting to ensure that programs run smoothly and efficiently. This role is essential for keeping projects organized and ensuring deadlines are met.

What do technical assistants do?

A Technical Program Assistant supports project teams by coordinating schedules, managing documentation, and assisting with technical tasks. They often handle communication between departments, track project progress, and use tools like spreadsheets or project management software to ensure timely completion of tasks.

What job makes $10,000 a month without a degree?

A Technical Program Assistant typically does not earn $10,000 a month without a degree; such high salaries are uncommon for this role. High-paying jobs that can reach this level without a degree often include specialized sales, entrepreneurship, or skilled trades, but they usually require significant experience, skills, or certifications. Most roles with this income level tend to demand advanced skills or industry-specific knowledge rather than formal education alone.

What are the key skills and qualifications needed to thrive as a Technical Program Assistant, and why are they important?

To thrive as a Technical Program Assistant, you need strong organizational skills, attention to detail, and a background in project coordination or administration, often supported by a relevant associate's or bachelor's degree. Familiarity with project management tools (such as Asana or Trello), office software, and sometimes basic technical knowledge or certifications like PMP support the role. Excellent communication, problem-solving abilities, and the capacity to multitask distinguish top performers in this position. These skills ensure efficient program operations, clear team coordination, and the successful delivery of technical projects.

Why is Gen Z struggling to get jobs?

Gen Z job seekers often face challenges such as limited work experience, high competition, and evolving employer expectations for digital skills and adaptability. Many employers value prior internships, certifications, or technical competencies, which can be less accessible to new entrants without extensive networks or experience.

What types of projects and teams does a Technical Program Assistant typically support, and how does this impact daily tasks?

Technical Program Assistants usually support cross-functional teams working on technology-driven projects, such as software development, IT infrastructure upgrades, or research initiatives. This means your daily tasks may include coordinating meetings, tracking project milestones, managing documentation, and facilitating communication between technical staff and stakeholders. The role often requires adaptability, as priorities can shift rapidly depending on project needs. Working closely with project managers, engineers, and other specialists allows you to gain broad exposure to technical processes and develop valuable organizational and problem-solving skills.

What is the difference between Technical Program Assistant vs Technical Project Coordinator?

AspectTechnical Program AssistantTechnical Project Coordinator
CredentialsTypically requires an associate's or bachelor's degree in a related fieldUsually requires a bachelor's degree, often with project management certifications
Work EnvironmentSupports technical teams in office or lab settings, often in tech or engineering industriesCoordinates technical projects, working closely with teams in similar environments
Employer & Industry UsageUsed by tech companies, research institutions, and government agenciesCommon in IT, engineering, and software development sectors
Search & Comparison IntentOften compared for entry-level technical support rolesCompared for roles involving project coordination and management

The Technical Program Assistant and Technical Project Coordinator roles share similarities in supporting technical teams and requiring related educational backgrounds. However, the assistant typically provides administrative and technical support, while the coordinator manages project timelines and resources. Both roles are vital in tech and engineering industries, but their focus and responsibilities differ slightly.

What are the most commonly searched types of Technical Program jobs in Detroit, MI? The most popular types of Technical Program jobs in Detroit, MI are:
What are popular job titles related to Technical Program Assistant jobs in Detroit, MI? For Technical Program Assistant jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Technical Program Assistant jobs in Detroit, MI look for? The top searched job categories for Technical Program Assistant jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Technical Program Assistant jobs? Cities near Detroit, MI with the most Technical Program Assistant job openings:

Technical Lead- Automotive AI Cockpit

Bosch Group

Plymouth, MI • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Job description

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.


Let's grow together, enjoy more, and inspire each other. Work #LikeABosch


 Reinvent yourself: At Bosch, you will evolve.
Discover new directions: At Bosch, you will find your place.
Balance your life: At Bosch, your job matches your lifestyle.
Celebrate success: At Bosch, we celebrate you.
Be yourself: At Bosch, we value values.
Shape tomorrow: At Bosch, you change lives.

Job Description

Role Overview

We are seeking a highly skilled Technical Lead / Architect to drive the design, development, and delivery of next-generation AI-powered smart cockpit solutions for Automotive. This role will lead the technical vision and execution of an intelligent, context-aware in-vehicle experience that transforms the cockpit into a proactive, personalized companion for drivers and passengers.

You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to production.

Key Responsibilities

  • Define and own the end-to-end architecture for AI-driven smart cockpit systems across hardware, middleware, and application layers
  • Lead design and implementation of AI/ML pipelines, model optimization, deployment, and lifecycle management
  • Architect multi-model/LLM orchestration and on-device model adaptation (fine-tuning, distillation) for edge automotive deployment, including model selection, routing, and inference optimization on GPU/NPU SoCs
  • Architect efficient edge AI execution, optimizing models for CPU/GPU/NPU (quantization, pruning, latency, power)
  • Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable feature delivery
  • Integrate multimodal AI capabilities (voice, vision, sensor fusion) with real-time and safety-critical constraints
  • Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production
  • Define the AI evaluation and observability framework, including model quality testing, regression checks, and production monitoring tied to release readiness
  • Drive technical program execution across architecture, AI, and integration workstreams - including planning, dependencies, risk management, milestone tracking, cross-functional coordination, and stakeholder communication - to ensure on-time, high-quality production readiness
Qualifications

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field with 5+ years of experience in AI/ML-driven system development.
  • Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms.
  • Experience integrating AI and Generative AI/LLM-based capabilities into real-time, resource-constrained environments.
  • Strong knowledge of edge AI optimization techniques (quantization, pruning, distillation) and proficiency in Python and C++, along with experience in embedded AI lifecycle management, including OTA updates and fleet telemetry.
  • Hands-on experience with LLM/generative-AI orchestration and model fine-tuning/adaptation in real-time, resource-constrained environments.
  • Strong understanding of cloud platforms architecture and edge-cloud orchestration, and proven ability to lead cross-functional engineering teams.

Preferred Qualifications

  • Knowledge of automotive cockpit systems (voice assistants & personalization)
  • Experience with on-device voice pipelines (ASR/TTS) and inference-serving stacks on various SoC/processors
  • Exposure to user experience design for in-vehicle systems

Key Competencies

  • Strong technical leadership and architectural thinking
  • Ability to balance innovation with production readiness
  • Excellent communication and stakeholder management skills
  • Strategic mindset with hands-on execution capability
  • Passion for shaping the future of AI-defined vehicles

What You'll Work On

  • AI-powered assistants that understand driver intent and context
  • Personalized, self-learning cockpit experiences
  • Seamless integration of infotainment, productivity, and safety features
  • Next-gen human-machine interfaces (voice, gesture, multimodal AI)
Additional Information

All your information will be kept confidential according to EEO guidelines. 

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled. 

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives 

FIRST Robotics (For Inspiration and Recognition of Science and Technology) 

AWIM (A World In Motion) 

Equal Opportunity Employer, including disability / veterans 

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 

Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!

#LI- JM1