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Smart Tech Jobs in California (NOW HIRING)

XPENG

Staff Software Engineer

Santa Clara, CA · On-site

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric ...

XPENG

Staff Software Engineer

Santa Clara, CA · On-site

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric ...

Lux

Home Interior Designer Intern

San Francisco, CA

We specialize in selling kitchenware, home furnishings, and smart tech accessories. For more information about exactly what Lux does, take a look at Getluxapp.com or download our app. Work with the ...

Petlibro

Head of AI & Research

San Jose, CA

About the Company At Petlibro, we are redefining the future of pet care through smart technology, AI, and connected experiences. About the Role The Head of AI and Research will lead Designlibro ...

Daisy Co.

Remote Appointment Specialist

Costa Mesa, CA · On-site +1

$45K/yr

About Daisy: We're the first national brand for smart home and small business technology installation and service - headquartered in Costa Mesa, CA, with 20+ locations nationwide and named the 2025 ...

Lux

Director of Marketing

South San Francisco, CA

We specialize in selling kitchenware, home furnishings, and smart tech accessories. For more information about exactly what Lux does, take a look at Getluxapp.com or download our app. Lux was ...

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Smart Tech information

What is a Smart Tech job?

A Smart Tech job typically involves working with smart devices, automation systems, and emerging technologies like IoT, AI, and connected home or business solutions. Responsibilities may include installing, maintaining, troubleshooting, and optimizing smart technology systems. Professionals in this role often work in industries such as home automation, telecommunications, and IT support. Strong technical skills, problem-solving abilities, and knowledge of networking and smart devices are essential.

What are some common challenges Smart Techs face on the job?

Smart Techs often encounter issues such as compatibility problems between devices, rapidly evolving technology standards, and troubleshooting network connectivity. Adapting to each client’s unique setup means no two days are the same, requiring strong diagnostic skills and flexibility. Additionally, educating customers on how to use new technologies can be challenging yet rewarding. Working closely with both end users and other technicians typically helps resolve complex issues efficiently and ensures a smooth user experience.

What are the key skills and qualifications needed to thrive in the Smart Tech position, and why are they important?

To thrive as a Smart Tech, strong problem-solving abilities, technical aptitude in smart home devices or enterprise IoT systems, and relevant certifications such as CompTIA ITF+ or vendor-specific credentials are essential. Familiarity with diagnostic tools, wireless networking, and smart device platforms like Google Home or Amazon Alexa is highly valued. Excellent customer service skills, adaptability, and clear communication help Smart Techs address diverse client needs and build trust. These skills are critical for effectively installing, troubleshooting, and maintaining smart technologies in homes or businesses, ensuring customer satisfaction and system reliability.

What are popular job titles related to Smart Tech jobs in California? For Smart Tech jobs in California, the most frequently searched job titles are:
What job categories do people searching Smart Tech jobs in California look for? The top searched job categories for Smart Tech jobs in California are:
What cities in California are hiring for Smart Tech jobs? Cities in California with the most Smart Tech job openings:
Smart Tech jobs near you
Infographic showing various Smart Tech job openings in California as of June 2026, with employment types broken down into 68% Full Time, 25% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Staff Robotics Engineer / Tech Lead - Whole-Body Control & Robot Learning

XPENG

Santa Clara, CA • On-site

Full-time

Posted 8 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
We are now expanding into the development of general-purpose humanoid robots aimed at automating repetitive tasks and assisting people in their daily lives.
We are seeking a highly motivated Staff Robotics Engineer / Tech Lead to join our US robotics team. This role is ideal for a strong hands-on engineer who can contribute deeply to humanoid robot control, whole-body motion generation, robot learning, and sim-to-real deployment, while helping coordinate technical direction and mentor a small team. The ideal candidate brings strong engineering judgment, clear communication, and the ability to help other engineers move faster and make better technical decisions.
Key Responsibilities:
  • Develop control and learning-based algorithms forhumanoid robot locomotion, whole-body control, motion generation, and sim-to-real transfer.
  • Contribute to the technical direction of the robotics team by identifying key problems, proposing practical solutions, and helping prioritize engineering efforts.
  • Work with simulation, software, hardware, AI, data, and China-based engineering teams to translate robot performance goals into executable plans.
  • Mentor other engineers through design reviews, code reviews, experiments, and technical discussions.
Minimum Requirements:
  • Master's or Ph.D. degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • 5+ years of relevant experience inreinforcement learning, robotics, robot learning, control systems, or related areas.
  • Strong background in robot dynamics, control, motion planning, reinforcement learning, imitation learning, or whole-body control.
  • Familiarity with modern robot learning methods such as PPO, SAC, behavior cloning, diffusion policies, imitation learning, etc.
  • Excellent communication skills, with the ability to work across disciplines, locations, and organizational boundaries.
  • Strong ownership mindset and ability to operate effectively in a fast-moving, ambiguous, research-to-product environment.
Preferred Requirements:
  • Publications or strong project experience in robotics, reinforcement learning, legged locomotion, humanoid control, or embodied AI are a plus.
  • Experience technically leading projects or mentoring other engineers.
  • Hands-on experience with legged robot control, testing, or operation.

What do we provide:
  • A supportive, engaging environment with opportunities to make a significant impact on the future of robotics.
  • Opportunities to work on cutting-edge technologies with top talent in the field.
  • Competitive compensation, equity, benefits.
  • Lunches, snacks, and team activities.

The base salary range for this full-time position is $215,280-$364,320, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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