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Remote Mechatronics Engineer Jobs in Berkeley, CA

You.com

Senior Search Engineer

San Francisco, CA · On-site +1

$190K - $260K/yr

Our team includes engineers, researchers, product builders, and operators who care about solving ... This is a remote position open to candidates based in the United States. We also have co-working ...

You.com

Senior Search Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

This is a remote position open to candidates based in the United States. We also have co-working ... Work closely with data engineers, ML engineers, and product teams to integrate novel features and ...

Fieldguide

AI Engineer

San Francisco, CA · Remote

$150K - $220K/yr

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs ... As an AI Engineer, you'll build Fieldguide's intelligence layer--agentic workflows, architectures ...

Vercel

Forward-Deployed Engineer

San Francisco, CA · On-site +1

We are looking for a Forward-Deployed Engineer to join our Professional Services team. This is not ... You will report to the Director of Professional Services and will be remote-first with significant ...

Kimmel & Associates

Senior Energy Engineer

Oakland, CA · On-site +1

$140K - $150K/yr

Remote employees must report to the company's Middleburg Heights headquarters at least once per ... Collaborate with sales, engineering, estimating, and project management teams throughout project ...

Fuku

Senior Prompt Engineering Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

... Engineer who will own the full lifecycle of intelligent workflow design. This includes prompt ... HQ in San Francisco with remote flexibility across North America time zones. How to apply Send your ...

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All JobsMechatronics Engineer JobsRemote Mechatronics Engineer JobsRemote Mechatronics Engineer Jobs in Berkeley, CA

Remote Mechatronics Engineer information

See Berkeley, CA salary details

$72.9K

$110.8K

$188K

How much do remote mechatronics engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote mechatronics engineer in Berkeley, CA is $110,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $128,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote mechatronics engineers while working off-site?

Remote Mechatronics Engineers often encounter challenges such as diagnosing hardware issues without physical access to equipment, coordinating multidisciplinary project tasks across time zones, and ensuring clear communication with on-site personnel. To overcome these, they rely heavily on remote collaboration tools, virtual simulations, and detailed documentation. Successful engineers in this role proactively set up regular check-ins with team members and use real-time data monitoring to resolve issues quickly. Adapting to these challenges can offer valuable experience and strengthen your ability to manage complex projects in a distributed work environment.

Can remote mechatronics engineers work from home?

Remote mechatronics engineers can often work from home, especially when their tasks involve designing, programming, and testing systems using CAD software, simulation tools, and remote communication platforms. However, some roles may require on-site presence for hardware installation, maintenance, or testing in labs or manufacturing environments. The feasibility depends on the company's policies and the specific responsibilities of the position.

What is a remote mechatronics engineer?

A Remote Mechatronics Engineer designs, develops, and troubleshoots mechanical, electrical, and software systems from a remote location. They work on automation, robotics, and smart systems, collaborating with teams using digital tools for design, simulation, and testing. Communication is typically done via online platforms, and they may use remote access to interact with hardware systems. This role requires expertise in mechanical design, electronics, control systems, and programming. It is ideal for professionals who can work independently while ensuring seamless integration of mechatronic components remotely.

Are remote mechatronics engineers in high demand?

Remote mechatronics engineers are in increasing demand due to the growth of automation, robotics, and IoT technologies across industries. Skills in embedded systems, control engineering, and CAD are highly valued, and remote work options are expanding as companies adopt flexible work arrangements. The demand is expected to continue rising as technological innovation accelerates.

What are the key skills and qualifications needed to thrive as a remote mechatronics engineer?

To thrive as a Remote Mechatronics Engineer, you need a strong background in mechanical, electrical, and software engineering, typically supported by a degree in mechatronics or a related field. Experience with CAD software, PLC programming, robotics platforms, and simulation tools is highly valued, as well as relevant certifications like Certified Mechatronics Technician. Excellent problem-solving abilities, self-motivation, and strong communication skills are crucial, especially when collaborating with remote teams. These competencies ensure you can efficiently design, troubleshoot, and improve automated systems while coordinating effectively from a distance.

What are the most commonly searched types of Mechatronics Engineer jobs in Berkeley, CA? The most popular types of Mechatronics Engineer jobs in Berkeley, CA are:
What job categories do people searching Remote Mechatronics Engineer jobs in Berkeley, CA look for? The top searched job categories for Remote Mechatronics Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Mechatronics Engineer jobs? Cities near Berkeley, CA with the most Remote Mechatronics Engineer job openings:
Remote Mechatronics Engineer jobs near you

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Re-posted 25 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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