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Remote Performance Engineer Jobs in Michigan (NOW HIRING)

Bisnow

Commercial Mortgage Broker

Detroit, MI · Remote

$120K - $300K/yr

... developers, and owners * Analyze client financials and position deals effectively for market ... Ability to operate independently in a remote, performance-driven environment * Excellent ...

CSAA

Solve performance, availability, deployment, and integration issues across AI and data ecosystems. * Partner with engineering and business teams to rapidly restore service and minimize operational ...

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Remote Performance Engineer information

How does a Remote Performance Engineer typically collaborate with cross-functional teams to address system bottlenecks?

Remote Performance Engineers frequently work alongside developers, QA analysts, and operations teams to identify and resolve system performance issues. Collaboration is often facilitated through virtual meetings, shared dashboards, and ticketing systems, allowing for real-time discussion of bottlenecks and potential solutions. Engineers may be responsible for presenting their findings, recommending optimizations, and guiding implementation while ensuring all stakeholders are aligned on priorities. Effective communication skills and proactive documentation are essential to succeed in this remote, collaborative environment.

What are Remote Performance Engineers?

Remote Performance Engineers are specialized IT professionals who work from remote locations to monitor, analyze, and optimize the performance of software applications, systems, or networks. Their main goal is to ensure that digital products run efficiently and can handle user demand without slowdowns or outages. They utilize various tools and methodologies to identify bottlenecks, conduct testing, and recommend or implement solutions to improve overall system performance. These engineers often collaborate with development, operations, and QA teams to maintain high standards of reliability and speed for end users.

What is the difference between Remote Performance Engineer vs Remote QA Engineer?

AspectRemote Performance EngineerRemote QA Engineer
Required CredentialsBachelor's in Computer Science, experience with performance testing toolsBachelor's in Computer Science, experience with testing frameworks
Work EnvironmentDevelops and analyzes system performance, works closely with development teamsTests software quality, executes test plans, reports bugs
Employer & Industry UsageTech companies, software firms, e-commerce platformsSoftware companies, app developers, tech firms
Search & Comparison IntentPerformance optimization, system testing rolesSoftware testing, quality assurance roles

Remote Performance Engineers focus on optimizing system performance and analyzing bottlenecks, while Remote QA Engineers concentrate on testing software quality and identifying bugs. Both roles require technical skills and often work in similar tech environments, but their core responsibilities differ in focus and objectives.

What are the key skills and qualifications needed to thrive as a Remote Performance Engineer, and why are they important?

To excel as a Remote Performance Engineer, you need a strong background in software engineering, performance testing, and systems analysis, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valuable. Exceptional problem-solving skills, attention to detail, and effective remote communication are critical soft skills for this role. These abilities ensure optimal system performance, efficient troubleshooting, and successful collaboration across distributed teams.
What are the most commonly searched types of Performance Engineer jobs in Michigan? The most popular types of Performance Engineer jobs in Michigan are:
What are popular job titles related to Remote Performance Engineer jobs in Michigan? For Remote Performance Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Performance Engineer jobs in Michigan look for? The top searched job categories for Remote Performance Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Performance Engineer jobs? Cities in Michigan with the most Remote Performance Engineer job openings:
Remote Performance Engineer jobs near you
ML Engineer, II - Learned Behaviors

ML Engineer, II - Learned Behaviors

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team:
As a Machine Learning Engineer II - Learned Behaviors, you will help develop and deploy behavior models that power decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations.
This role focuses on building, validating, and improving machine learning models and infrastructure that support learned behavior systems within the autonomy stack.
What You'll Do
  • Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning.
  • Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack.
  • Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios.
  • Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data.
  • Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments.
  • Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation.
  • Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration.
  • Contribute to technical discussions around model architecture and training strategies within the team.

What You'll Need to Succeed
  • Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master's degree with 2+ years of experience.
  • Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments.
  • Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.
  • Experience training and evaluating machine learning models using large datasets and scalable compute environments.
  • Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models.
  • Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines.
  • Ability to collaborate with cross-functional teams to integrate ML models into larger software systems.

Bonus Points!
  • Experience working in autonomous driving, robotics, or simulation-based training environments.
  • Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray).
  • Experience working with simulation environments or large-scale behavior datasets.
  • Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems.
  • Experience deploying ML models into production or real-world robotics systems.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Hiring Range for Job Opening
US Pay Range
$153,200 - $183,300 USD
Job ID: 102515

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