1

Algorithmic Trading Jobs in Michigan (NOW HIRING)

Test Engineer II

Ann Arbor, MI · On-site

$87K - $127K/yr

... IO and control algorithm performance, signal chain quality, and requirements conformance ... Track record of generating requirements and trade studies for new test equipment. * Experience ...

... IO and control algorithm performance, signal chain quality, and requirements conformance ... Track record of generating requirements and trade studies for new test equipment. * Experience ...

... IO and control algorithm performance, signal chain quality, and requirements conformance ... Track record of generating requirements and trade studies for new test equipment. * Experience ...

The pay range provided is not indicative of Sysco's actual pay range but is merely algorithmic and ... trade management and customer experience teams in opportunities that will create value for both ...

next page

Showing results 1-20

Algorithmic Trading information

See Michigan salary details

$64.9K

$74.7K

$81.9K

How much do algorithmic trading jobs pay per year?

As of Jul 23, 2026, the average yearly pay for algorithmic trading in Michigan is $74,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $79,300.00 per year, depending on experience, location, and employer.

What Is Algorithmic Trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
What are popular job titles related to Algorithmic Trading jobs in Michigan? For Algorithmic Trading jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Algorithmic Trading job openings in Michigan as of July 2026, with employment types broken down into 1% Internship, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $74,739 per year, or $35.9 per hour.
Staff RF Coexistence Engineer (Coex)

Staff RF Coexistence Engineer (Coex)

General Motors

Warren, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 304 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,239 frontline employees who took The Breakroom Quiz


Job description

Job Description
Our Mission:
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Job Overview
General Motors is transforming into a software-defined, technology-driven automotive company, with a growing emphasis on in-house hardware and RF system design to enable faster innovation, deeper system integration, and improved product quality.
We are seeking a highly skilled Senior RF Coexistence Engineer to support multi-radio performance execution across GM's next-generation product platforms. In this role, you will focus on coexistence behavior, throughput, latency, and system-level performance across cellular, Wi-Fi, Bluetooth, GNSS, UWB, and emerging wireless technologies.
This is a senior individual contributor role that plays a critical part in GM's in-house design (IHD) strategy, embedding coexistence expertise early in design, validation, and integration cycles while working within agile, cross-functional development teams.
Key Responsibilities
Coexistence Execution & Ownership
  • Own coexistence performance execution for assigned systems, features, and vehicle programs
  • Develop and implement multi-radio coexistence solutions within defined vehicle and system architectures
  • Support early design phases by identifying coexistence risks and opportunities aligned with GM's in-house development roadmap
  • Partner with internal design teams to reduce dependency on late-stage supplier fixes
  • Analyze and improve:
    • Throughput degradation
    • Latency, packet loss, and jitter
    • Radio contention and scheduling inefficiencies
  • Evaluate coexistence behavior in real-world, in-vehicle scenarios:
    • Simultaneous radio operation (e.g., Wi-Fi + Bluetooth audio + cellular data)
  • Support system trade-offs balancing performance, power, cost, and use
  • Collaborate closely with internal:
    • RF, antenna, PCB, SoC, and firmware teams
  • Enable faster iteration cycles by connecting:
    • Early simulation
    • Bench and lab validation
    • Vehicle-level testing
  • Support agile development models through incremental learning, fast debug, and early risk retirement

Cross-Functional Technical Integration
  • Influence system design decisions to improve coexistence performance, including:
    • Antenna placement and isolation
    • RF front-end architecture
    • Clocking and aggressor management
  • Collaborate with firmware and software teams on:
    • Coexistence algorithms
    • Scheduling and arbitration mechanisms
    • Frequency hopping and time-domain coordination
  • Act as a technical bridge between hardware realities and protocol-level behavior

Coexistence Testing & Validation
  • Develop and execute coexistence validation plans, including:
    • OTA and conducted test methods
    • Throughput and sensitivity measurement under concurrent radio operation
  • Define and run coexistence test matrices and stress scenarios aligned with vehicle use cases
  • Utilize tools such as:
    • Wireless test systems (UXM, CMX, MT8000A, CMW500)
    • OTA chambers, spectrum/network analyzers, protocol analyzers, and sniffers

Debug & Root-Cause Analysis
  • Lead root-cause investigation of coexistence-related performance issues by:
    • Identifying aggressor / victim interactions
    • Analyzing conducted, radiated, and baseband coupling paths
  • Debug across multiple layers:
    • RF front-end and antenna systems
    • Baseband and firmware behavior
    • System scheduling and software interactions
  • Capture learnings to support reuse and continuous improvement within GM's in-house design ecosystem

Design for Coexistence (DfC)
  • Apply GM-defined design-for-coexistence frameworks, including:
    • PCB layout (grounding, isolation, return paths)
    • Antenna placement and coupling minimization
    • Shielding, filtering, and noise mitigation
    • System-level timing and resource management strategies
  • Support early-stage coexistence modeling and simulation in collaboration with system architects

Technical Leadership
  • Serve as a go-to coexistence subject-matter expert for assigned programs
  • Mentor junior engineers on coexistence fundamentals, testing, and debug techniques
  • Contribute to in-house guidelines, documentation, and repeatable technical practices
  • Provide technical input into architecture reviews, design decisions
  • Be comfortable is dealing with ambiguity, self starter setting objectives aligned with phase of the product development cycle

Required Qualifications
  • M.S. in Electrical Engineering or related field (PhD preferred)
  • 6-10 years of RF/wireless engineering experience with strong emphasis on coexistence (Coex)
  • Strong understanding of:
    • Multi-radio interference mechanisms
    • Wireless protocols (Wi-Fi, Bluetooth, LTE/5G) and their interactions
  • Hands-on experience with:
    • Wireless test equipment (UXM, CMX, MT8000A, CMW500)
    • OTA testing and coexistence validation setups
    • RF simulation tools (CST, HFSS, FEKO)
  • Proven system-level debugging and data-driven analysis skills

Preferred Experience
  • Automotive wireless systems (infotainment, telematics, connected vehicle platforms)
  • Consumer electronics (smartphones, wearables, AR/VR)
  • Experience supporting in-house hardware or platform development teams
  • Familiarity with firmware-driven coexistence algorithms and protocol analyzers

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is 134,700 - 207,600
. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel <25% for this role.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908