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Assistant Edge Computing Jobs in California (NOW HIRING)

Review circuit designs, PCB layout, mechanical designs, and assist on component selection for high ... Familiarity with IoT devices, edge computing, and data center hardware. * Experience with PXE boot ...

AI Engineer

El Segundo, CA · On-site

$77K - $176K/yr

Knowledge of modern software design patterns, including microservice design or edge computing ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

AI Engineer

El Segundo, CA · On-site

$77K - $176K/yr

Knowledge of modern sof tware design patterns, including microservice design or edge computing ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Founding Product Director

Mountain View, CA · On-site

$274K - $287K/yr

Work closely with ML engineers to understand edge computing constraints (latency, privacy, power ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Hardware Engineer

Fremont, CA · On-site

$100K - $115K/yr

... assist on component selection for high-performance, reliable, and energy-efficient hardware. • ... Preferred Qualifications: • Familiarity with IoT devices, edge computing, and data center ...

... assist on component selection for high-performance, reliable, and energy-efficient hardware. · ... Preferred Qualifications: · Familiarity with IoT devices, edge computing, and data center hardware ...

Founding Product Director

Mountain View, CA

$274K - $287K/yr

Work closely with ML engineers to understand edge computing constraints (latency, privacy, power ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Knowledge of modern software design patterns, including microservice design or edge computing ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Founding Product Director

Mountain View, CA · On-site

$274K - $287K/yr

Work closely with ML engineers to understand edge computing constraints (latency, privacy, power ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

AI Engineer

El Segundo, CA · On-site

$77K - $176K/yr

Knowledge of modern software design patterns, including microservice design or edge computing ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Staff Cost Accountant

Alameda, CA · On-site

$90K - $108K/yr

By combining proven autonomous operations, edge computing, advanced sensing, renewable power, and ... This role will assist in ensuring accurate tracking of inventory, production costs, and cost of ...

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Showing results 1-20

Assistant Edge Computing information

What are the key skills and qualifications needed to thrive as an Assistant Edge Computing Specialist, and why are they important?

To thrive as an Assistant Edge Computing Specialist, a solid understanding of computer networks, distributed systems, and programming languages such as Python or C++ is essential, often supported by a degree in computer science or a related field. Familiarity with edge computing platforms (like AWS IoT Greengrass or Azure IoT Edge), virtualization technologies, and relevant certifications such as CompTIA Network+ or AWS Certified Cloud Practitioner is highly beneficial. Strong problem-solving, analytical thinking, and effective communication skills help individuals stand out in collaborating with cross-functional teams and addressing real-time challenges. These skills are crucial for efficiently managing decentralized computing environments and ensuring reliable, low-latency data processing at the edge.

What are some common challenges faced by Assistant Edge Computing professionals, and how can they be addressed?

Assistant Edge Computing professionals often encounter challenges such as managing the deployment of distributed edge devices, ensuring consistent network connectivity, and maintaining data security across various endpoints. To address these, it's important to develop strong troubleshooting skills, stay updated on the latest cybersecurity protocols, and collaborate closely with IT and network teams. Regular training and clear communication within cross-functional teams can also help in resolving technical issues quickly and effectively.

What is the difference between Assistant Edge Computing vs Network Technician?

AspectAssistant Edge ComputingNetwork Technician
Required CredentialsAssociate degree or certifications in computing or networkingAssociate degree or certifications in networking or IT support
Work EnvironmentData centers, edge locations, cloud environmentsOffice settings, data centers, client sites
Industry UsageTechnology, IoT, cloud servicesTelecommunications, IT services, networking
Common Search IntentSupporting edge computing infrastructureMaintaining and troubleshooting networks

Assistant Edge Computing focuses on supporting and managing edge computing infrastructure, often involving cloud and IoT environments. Network Technicians primarily troubleshoot and maintain network systems. While both roles require networking knowledge and certifications, Assistant Edge Computing emphasizes cloud and edge environments, making it distinct in scope and application.

What are Assistant Edge Computing roles?

Assistant Edge Computing roles generally focus on supporting the deployment, maintenance, and optimization of edge computing systems. These professionals help manage data processing at the edge of networks, ensuring low latency and efficient use of resources. Their responsibilities may include monitoring edge devices, troubleshooting connectivity or performance issues, and assisting with the integration of edge solutions into existing IT infrastructure. They often collaborate with engineers and IT specialists to ensure seamless data processing and reliable operation of distributed systems.
What are the most commonly searched types of Edge Computing jobs in California? The most popular types of Edge Computing jobs in California are:
What job categories do people searching Assistant Edge Computing jobs in California look for? The top searched job categories for Assistant Edge Computing jobs in California are:
What cities in California are hiring for Assistant Edge Computing jobs? Cities in California with the most Assistant Edge Computing job openings:
Infographic showing various Assistant Edge Computing job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal Software Engineer, Perception Architect

Zoox

Foster City, CA

Full-time

Posted 19 days ago


Job description

Be the visionary Perception Architect designing the sensory "nervous system" for our next generation of autonomous products. Evolve our end-to-end perception architecture, serving as the essential liaison between Sensing teams and the core ML system. Drive architectural evolution toward next-generation sensing and compute platforms by influencing Hardware-Software Co-Design.
In this role, you will:
  • System Synthesis: Define the end-to-end perception architecture—assess new sensing (LiDAR, Radar, Camera) to the final fused world model.
  • Hardware-Software Co-Design: Partner with Compute and Sensing teams to influence the design, ensuring our algorithms have the "computational oxygen" they need.
  • Algorithmic Strategy: Lead the transition from current pipelines to AI innovation pipelines, while maintaining the safety and interpretability required for edge deployment.
  • Future-Proofing: Evaluate emerging technologies and determine their viability for the 3-5 year roadmap.
  • Performance Budgeting: Collaborate on rigorous metrics for latency and accuracy across diverse edge-computing environments.
  • Lead cross functional teams: to create a viable plan to move to new platforms and unlock further technical capabilities for Perception systems. Coordinate projects across partner teams to make sure work is aligned with the overall org direction.
Qualifications
  • Education: Ph.D. or MS in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision.
  • Experience: 8+ years in autonomous systems with at least 2 years in an architectural role, shipping and evolving perception systems
  • Deep Domain Expertise: Mastery of systems focused on Computer Vision, Deep learning, Foundational models, Sensor Fusion, and State Estimation (SLAM, EKF/UKF). Deep understanding of sensor modalities and their impact to perception/autonomy systems, including: Camera, lidar, radar.
  • Platform Proficiency: Deep understanding of hardware acceleration, component budgeting and transition to new platforms.
  • Mathematical Rigor: Strong foundation in 3D geometry, linear algebra, and probabilistic robotics.
  • Hands on Skills: Proficiency in C++ (production-grade) and Python (rapid prototyping). Ability to run experiments across system components and run metrics platforms.
  • Soft Skills: Curious, Data driven, with ability to translate complex technical trade-offs to non-technical stakeholders and executive leadership.
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.