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Remote Functional Programming Jobs in Santa Clara, CA

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Collaborate remotely with cross-functional teams, providing clear written reports, technical ...

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Collaborate remotely with cross-functional teams, providing clear written reports, technical ...

... infrared remote sensing instruments. The ideal candidate is a self-motivated engineer with a ... You will be responsible for interacting with cross functional team members, vendors, and partners ...

Staff Optical Engineer

Mountain View, CA · On-site +1

$166K - $223K/yr

... CA or Remote, developing infrared remote sensing instruments. The ideal candidate is a self ... Collaborate with systems engineering to support cross-functional technical budgets, including ...

... remote access, and video management software (VMS) operation. • Working with cross-functional product managers, sales engineers, and firmware teams to resolve field issues and contribute to product ...

Mechanical Design Engineer - Fuel Recycling

Santa Clara, CA · On-site +1

$89K - $121K/yr

... remote handling, inspection, and maintenance of systems and components. * Collaborate cross-functionally with other engineering teams to define design and functional requirements, ensuring compliance ...

Showing results 21-40

Remote Functional Programming information

See Santa Clara, CA salary details

$15

$58

$87

How much do remote functional programming jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote functional programming in Santa Clara, CA is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $73.69 per hour, depending on experience, location, and employer.

What is a remote functional programming job?

A Remote Functional Programming job involves writing and maintaining software using functional programming languages like Haskell, Scala, or Clojure while working from a remote location. These roles focus on concepts such as immutability, first-class functions, and higher-order functions to create robust and scalable applications. Developers collaborate with distributed teams using online communication tools, version control, and cloud-based development environments.

What are the key skills and qualifications needed to thrive in a remote functional programming role?

To thrive in a Remote Functional Programming role, you need deep knowledge of functional programming languages (such as Haskell, Scala, Erlang, or Clojure), strong problem-solving abilities, and experience designing immutable, stateless systems. Proficiency with distributed version control (e.g., Git), CI/CD pipelines, and cloud platforms are commonly required, and certifications in relevant languages or frameworks can be advantageous. Excellent written communication, self-motivation, and collaboration skills help you succeed in distributed, asynchronous team environments. These skills are crucial for delivering high-quality, maintainable code while effectively navigating the unique challenges of remote development teams.

What are some common challenges of working remotely in a functional programming role, and how can I overcome them?

Working remotely in a functional programming position often involves navigating time zone differences, limited face-to-face interaction, and the need for proactive communication with team members. To overcome these challenges, it's important to make use of collaborative tools like Slack, code review platforms, and project management software while maintaining clear documentation of your work and design decisions. Regular check-ins, pairing sessions, and participating in virtual code reviews can help foster team alignment and knowledge sharing. Establishing a structured daily routine and setting clear boundaries also play a key role in staying productive and maintaining a healthy work-life balance.

What are popular job titles related to Remote Functional Programming jobs in Santa Clara, CA?

For Remote Functional Programming jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Functional Programming jobs in Santa Clara, CA look for?

The top searched job categories for Remote Functional Programming jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Functional Programming jobs?

Cities near Santa Clara, CA with the most Remote Functional Programming job openings:

Infographic showing various Remote Functional Programming job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 6% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,122 per year, or $58.7 per hour.

Senior AI / ML Engineer - Embodied AI

General Motors

Mountain View, CA • On-site, Remote

$170K - $261K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,297 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
As a Senior AI/ML Engineer inthe Embodied AI organization, you will develop and deploy machine learning solutions contributing to autonomous driving performance. You will contribute to designing and improving ML models that support safe and reliable vehicle behavior across real-world scenarios.

You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready solutions while contributing to engineering best practices and delivery execution.

What You'll Do

  • Develop and improve ML solutions aligned with GM's autonomous driving objectives.

  • Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.

  • Collaborate with cross-functional teams to deploy models into onboard driving systems.

  • Implement and evaluate models, incorporating research advancements into practical applications.

  • Contribute to taking ML solutions from experimentation through deployment and production support.

  • Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.

Your Skills & Abilities

  • Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, or related field.

  • Experience applying machine learning techniques to real-world systems or large-scale datasets.

  • Proficiency in PyTorch and Python.

  • Experience working with model training pipelines or large-scale data processing workflows.

  • Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.

  • Ability to collaborate effectively within cross-functional engineering teams.

  • Experience deploying ML models into production or working within production ML environments preferred.

Remote:This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren,Milfordor Mountain View, you are expected to report to that location three timesperweek, at minimum.

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 $170,600.00 to $261,300.00. 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:

  • 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.

This job may be eligible forrelocationbenefits.

#GM-AV-1

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