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Smart Modular Technologies Jobs in California (NOW HIRING)

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Smart Modular Technologies information

What is Smart Modular Technologies?

Smart Modular Technologies is a company that designs, develops, and manufactures specialty memory, storage, and hybrid solutions for the electronics industry. Their products are used in a variety of applications, including enterprise, industrial, and defense systems. The company is known for its high-performance memory modules, solid-state drives, and custom solutions that cater to the unique needs of original equipment manufacturers (OEMs) and system integrators. Smart Modular Technologies operates worldwide and serves customers in sectors such as data centers, networking, and industrial automation.

What are some typical challenges faced by engineers at Smart Modular Technologies, and how are they addressed within the team?

Engineers at Smart Modular Technologies often work on complex memory and storage solutions, which can present challenges related to rapidly evolving technology standards and tight production timelines. To address these, the company fosters a collaborative environment where team members regularly share knowledge, participate in cross-functional meetings, and leverage mentorship from senior engineers. This approach not only helps in quickly resolving technical hurdles but also encourages continuous learning and professional development. Open communication channels and structured project management further ensure that challenges are identified early and addressed efficiently.

What are the key skills and qualifications needed to thrive as an employee at Smart Modular Technologies, and why are they important?

To thrive at Smart Modular Technologies, you need a strong background in electronics, computer engineering, or a related technical field, often supported by a relevant degree or equivalent experience. Familiarity with industry-standard tools such as PCB design software, testing equipment, and knowledge of memory or storage technologies is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help employees excel in collaborative, innovation-driven environments. These skills and qualities are crucial for ensuring high-quality product development and meeting the evolving needs of the technology sector.

What is the difference between Smart Modular Technologies vs PCB Design Engineer?

AspectSmart Modular TechnologiesPCB Design Engineer
Required CredentialsAssociate's/Bachelor's in Electronics or Electrical EngineeringBachelor's in Electrical Engineering or related field
Work EnvironmentManufacturing facilities, R&D labsDesign offices, engineering teams
Industry UsageElectronics manufacturing, contract manufacturingElectronics, telecommunications, consumer devices
Common Search/ComparisonYesYes

Smart Modular Technologies and PCB Design Engineers both work within the electronics industry, but their roles differ. Smart Modular Technologies focuses on manufacturing and assembly of electronic modules, while PCB Design Engineers specialize in designing printed circuit boards. Both roles require technical skills and collaborate closely in product development, but their daily tasks and work environments vary significantly.

What job categories do people searching Smart Modular Technologies jobs in California look for?

The top searched job categories for Smart Modular Technologies jobs in California are:

What cities in California are hiring for Smart Modular Technologies jobs?

Cities in California with the most Smart Modular Technologies job openings:

Infographic showing various Smart Modular Technologies job openings in California as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Staff Machine Learning Engineer - Autonomous Driving Foundation Models

XPENG

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-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.
 
The Mission: We are building the next generation of L4 autonomous vehicles. Moving beyond traditional modular stacks, we are developing large-scale Vision-Language-Action (VLA) models and World Models to handle the infinite long-tail scenarios of global driving. As a Senior Staff Machine Learning Engineer, you will architect the transition from behavior cloning to intelligent, zero-shot decision-making in diverse global markets.
 
Key Responsibilities:
  • Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
  • World Model Development: Drive R&D in generative world models (latent dynamics) to create high-fidelity, controllable driving simulations for closed-loop training and evaluation.
  • Policy Evolution: Apply Advanced RL (Online/Offline) and IL to refine driving policies, focusing on long-horizon planning and complex multi-agent interactions.
  • Scaling & Data Strategy: Define scaling laws for driving foundation models, overseeing data curation, automated labeling, and post-training at a multi-billion parameter scale.
  • Global Generalization: Lead the model's adaptation strategy for overseas road conditions, ensuring robust performance across varying traffic laws and driving cultures.
Qualifications:
  • 5-8 years of expertise in Deep Learning, with a significant track record in VLM, VLA, or Embodied AI.
  • Proven experience in training and deploying Foundation Models (Transformers, LLMs) at scale.
  • Deep understanding of Sequential Decision Making, World Models, or Policy Gradient methods.
  • Mastery of PyTorch and expertise in distributed training (DeepSpeed, Megatron, etc.).
  • A "Product-First" mindset: The ability to balance cutting-edge research with the deterministic requirements of L4 production vehicles.
What do we provide:
  • A fun, supportive and engaging environment
  • Infrastructures and computational resources to support your ML model development/research.
  • Opportunity to work on cutting edge technologies with the top talent in the field.
  • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
  • Competitive compensation package
  • Snacks, lunches, dinners, and fun activities
 
The base salary range for this full-time position is $244,140-$413,160, 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.