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Remote Algorithmic Trader Jobs in Hayward, CA (NOW HIRING)

Adam Back, one of the pioneers of the Bitcoin revolution and the inventor of the hashcash algorithm ... trading of real-world assets, as well as enterprise treasury solutions for secure and efficient ...

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Remote Algorithmic Trader information

See Hayward, CA salary details

$45.3K

$111K

$309K

How much do remote algorithmic trader jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote algorithmic trader in Hayward, CA is $110,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $121,000.00 per year, depending on experience, location, and employer.

What is a remote algorithmic trader?

A remote algorithmic trader is a financial professional who uses computer algorithms to execute trades in financial markets from a location outside of a traditional office, often working from home. These traders develop, test, and deploy automated trading strategies that analyze market data and make buy or sell decisions with minimal human intervention. The remote aspect allows for flexible work environments while still participating in fast-paced global markets. Successful remote algorithmic traders typically have strong programming, quantitative, and analytical skills. They may work independently or for trading firms, hedge funds, or financial institutions.

What are the key skills and qualifications needed to thrive as a remote algorithmic trader?

To thrive as a Remote Algorithmic Trader, you need strong quantitative analysis, programming expertise (typically in Python or C++), and a solid understanding of financial markets, often supported by a degree in finance, mathematics, or computer science. Familiarity with trading platforms, backtesting tools, and data analysis software, as well as certifications like CFA or FRM, is highly beneficial. Excellent problem-solving, adaptability, and disciplined decision-making set top performers apart in this field. These skills are crucial for developing profitable trading strategies, managing risk, and maintaining competitiveness in a fast-moving, technology-driven environment.

What are some common challenges faced by remote algorithmic traders, and how can they be effectively managed?

Remote algorithmic traders often face challenges such as maintaining reliable access to market data, ensuring secure and low-latency connectivity, and managing time zone differences with team members or markets. To address these, traders typically invest in robust internet infrastructure, use VPNs or dedicated trading servers, and establish clear communication protocols with their teams. Additionally, regular collaboration through virtual meetings and documentation helps ensure alignment and quick problem-solving despite physical distance.

What is the difference between Remote Algorithmic Trader vs Remote Quantitative Analyst?

AspectRemote Algorithmic TraderRemote Quantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skills; knowledge of trading algorithmsDegree in finance, mathematics, or statistics; programming skills; data analysis expertise
Work EnvironmentFinancial firms, trading platforms, hedge funds; primarily remoteFinancial institutions, research firms; often remote or hybrid
Industry UsageUsed in trading firms, hedge funds, proprietary trading desksUsed in investment banks, asset management, research firms
Common Search & ComparisonOften compared for trading strategies and algorithm developmentCompared for data analysis and modeling roles

The main difference is that Remote Algorithmic Traders focus on executing trading strategies using algorithms, while Remote Quantitative Analysts develop models and analyze data to inform trading decisions. Both roles require programming and finance knowledge but differ in daily tasks and end goals.

What are popular job titles related to Remote Algorithmic Trader jobs in Hayward, CA?

For Remote Algorithmic Trader jobs in Hayward, CA, the most frequently searched job titles are:

What job categories do people searching Remote Algorithmic Trader jobs in Hayward, CA look for?

The top searched job categories for Remote Algorithmic Trader jobs in Hayward, CA are:

What cities near Hayward, CA are hiring for Remote Algorithmic Trader jobs?

Cities near Hayward, CA with the most Remote Algorithmic Trader job openings:

Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations

General Motors

Sunnyvale, CA • On-site, Remote

$171K - $335K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 308 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,327 frontline employees who took The Breakroom Quiz


Job description

Job Description

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'returningtoday'simpossible 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 peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.

As a Staff ML Infra Engineer, you willdrive the development of core systems that enable rapiddataset generation,training, evaluation, and iteration of our most advanced Autonomous Driving models.Fromenablinglargefoundational drivingmodels todistilling multi-stage production deployedmodels,yourgoalwill be todramatically accelerate the machine learning development cyclefrom one modeling hypothesis to next.

You will deliver model training pipelinesthat are performant, easy to use, and exceptionally reliable.Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and highperformance training platforms you help create.

What you'll do:

  • Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.

  • Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality.

  • Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline.

  • Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build.

  • Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting.

  • Mentor and onboard junior engineers and interns, helping them grow their careers.

Your Skills & Abilities (Required Qualifications)

  • 5+ years of experience building large-scale distributed systems, applications, or advanced ML systemsscale distributed systems, applications, or advanced ML systems

  • Proventrack recordof designing robust frameworks with high-quality, durable APIs.

  • Deep understanding of machine learning algorithms with handson application

  • Expertisein building reliable, high-performance, and cost-efficient systems on modern cloudinfrastructureperformance

  • End-to-end experience across the ML development lifecycle, includingMLOpspractices

  • Strong cross functional collaboration skills across teams andorganizations

  • Exceptional coding skills in Python or C++

  • Strong interest in autonomous driving and its transformative potential

  • BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience

Exceptional candidates may also have

  • Experience with distributed training methodologies

  • Experience scaling ML training across large GPU/CPU clusters or other accelerators

  • Familiarity with deep learning frameworks (e.g.,PyTorch, TensorFlow)

  • Experience with performance profiling andstate-of-the-arttraining optimization techniques, including their impact on model performance oftheart training optimization techniques, including their impact on convergence.

  • Experience with advanced build systems (e.g., Bazel, Buck, Blaze,CMake)

  • Proficiencywith containerization and orchestration technologies (e.g., Docker, Kubernetes)

  • 5+ years of professional experience

Remote/Hybrid: This role is categorized as fully remote or hybrid.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

  • The salary range for this role is $171,700.00 to $335,300.00. 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 incentivepayprogram offers payouts based on company performance, job level, and individual performance.

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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

Relocation: This job may be eligible forrelocationbenefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible toparticipatein a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#GM-AV-1

#LI-CX1

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job may be eligible for relocation benefits.

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, email us 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.


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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