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Remote Ai Implementation Jobs in California (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

San Francisco, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering . * Develop ...

YO AI Labs

AI/ML Engineer - Remote

Palo Alto, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering . * Develop ...

YO AI Labs

AI/ML Engineer - Remote

Los Angeles, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering . * Develop ...

YO AI Labs

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering . * Develop ...

PactFi

Implementation Engineer

San Francisco, CA · On-site

$130K - $150K/yr

This role is a remote position, and you will be working in the West Coast time zone. Travel is not ... Proficient in AI-assisted development and debugging, APIs, and technical implementations * Business ...

YO AI Labs

GPU Programmer - Remote

San Francisco, CA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... AI/LLM applications. * Analyze performance bottlenecks and implement optimization strategies.

YO AI Labs

GPU Programmer - Remote

Los Angeles, CA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... AI/LLM applications. * Analyze performance bottlenecks and implement optimization strategies.

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Remote Ai Implementation information

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What are the most commonly searched types of Ai Implementation jobs in California?

The most popular types of Ai Implementation jobs in California are:

What are popular job titles related to Remote Ai Implementation jobs in California?

For Remote Ai Implementation jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Ai Implementation jobs in California look for?

The top searched job categories for Remote Ai Implementation jobs in California are:

What cities in California are hiring for Remote Ai Implementation jobs?

Cities in California with the most Remote Ai Implementation job openings:

Remote Ai Implementation jobs near you
Infographic showing various Remote Ai Implementation job openings in California as of August 2026, with employment types broken down into 10% Internship, 80% Full Time, 5% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Staff Technical Product Manager - Electronics AI & HPC Simulation - 18158

Synopsys

Sunnyvale, CA • On-site, Remote

$117K/yr

Full-time

Re-posted 27 days ago

Job description

General Information
Job Title
Staff Technical Product Manager - Electronics AI & HPC Simulation
Job ID
18158
City
Sunnyvale
State/Province
California
Date Posted
08-Jul-2026
Job Category
Product Management
Job Subcategory
Technical Product Management
Hire Type
Employee
Remote Eligible
Yes
Base Salary Range: $117000 - $175000
Descriptions & Requirements
Job Description and Requirements
About the Job
The preferred location of this role is Bay Area (CA)
We Are
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to AI infrastructure and advanced semiconductor systems. As part of Synopsys, Ansys Electronics delivers industry-leading multiphysics simulation solutions that help customers design high-performance, thermally efficient, and reliable electronic systems. We are looking for a technically strong product leader to help define and deliver how AI, high-performance computing, and platform interoperability transform products such as HFSS, Icepak, and the broader Ansys Electronics Desktop platform into scalable, AI-powered simulation capabilities.
You Are
A technically credible product leader with expertise in simulation, AI/ML, and HPC. You understand advanced electronics workflows and translate engineering needs into scalable product capabilities.
You build shared capabilities, AI-assisted workflows, and HPC-enabled solutions that span products and field use cases. You work closely with R&D to define technical direction, guide implementation, and solve complex workflow and system-level challenges.
You are motivated by solving hard technical problems at scale, including simulation acceleration, intelligent automation, and interoperable platform integrations such as AEDT with NVIDIA Omniverse.
What You'll Be Doing:
  • Define core AI and HPC capabilities and reference implementations across HFSS,Icepak, and AEDT.
  • Prioritize AI use cases such as set up assistance, model generation, solver guidance, design exploration, and automation.
  • Support product and field teams with HPC solution patterns spanning distributed compute, GPU acceleration, orchestration, and cloud deployment.
  • Extend AEDT into broader3rdparty ecosystems, through APIs, interoperable data models, and platform services.
  • Partner with R&D, UX, field teams, and customers to validate priorities and deliver measurable value.

  • Define requirements for AI, multiphysics, and scalable compute capabilities grounded in engineering use cases and feasibility.
    Key Qualifications
  • Bachelor's degree in engineering, computer science, physics, or a related technical field; advanced degree preferred.
  • Strong Python scripting skills, with the ability to automate engineering workflows, develop reusable tools, and work effectively with APIs.
  • Familiarity with HFSS, Icepak, Maxwell, AEDT, or comparable simulation environments.
  • Knowledge of AI-assisted engineering workflows, intelligent automation, or engineering data platforms.
  • Strong understanding of electromagnetic, thermal, multiphysics, or electronics design workflows.
  • Experience with HPC deployment models including multicore, cluster, cloud, and GPU acceleration.

  • Understanding ofAPIs, interoperability, workflow integration, and external technology partnerships.
    The Impact You Will Have
  • You will help shape the future of electronics and AI by driving how simulation evolves for the AI era. Through AI implementation, HPC, and platform integration across Ansys Electronics within Synopsys, you will influence the next generation of technologies powering semiconductors, electronics, intelligent systems, and AI infrastructure.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
Synopsys logo

About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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