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Senior Linear Accelerator Engineer Jobs in California

Sr. Cloud AI Infrastructure Engineer

Palo Alto, CA · On-site

$127K - $173K/yr

Tencent is a leading technology company seeking a Sr. Cloud AI Infrastructure Engineer. This role ... semiconductors and accelerators. Responsibilities : • Conduct in-depth research into the ...

Senior Hardware Design Engineer Reports To: Sr. Director, Hardware & Systems Engineering Job ... Accelerator System Design: Architect and implement high-density printed circuit board (PCB) for AI ...

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA)

Showing results 41-60

Senior Linear Accelerator Engineer information

What is the difference between Senior Linear Accelerator Engineer vs Medical Physicist?

AspectSenior Linear Accelerator EngineerMedical Physicist
Required CredentialsBachelor's or Master's in Engineering, certifications in linear accelerator systemsDoctorate in Medical Physics, board certification (e.g., ABMP)
Work EnvironmentEngineering departments, manufacturing, maintenance of linear acceleratorsHospitals, cancer treatment centers, clinical settings
Industry UsageMedical device companies, healthcare facilities, researchRadiation oncology, cancer treatment centers
Common Search/ComparisonYesYes

The main difference is that Senior Linear Accelerator Engineers focus on designing, maintaining, and improving linear accelerator systems from an engineering perspective, while Medical Physicists specialize in ensuring safe and effective radiation treatment for patients. Both roles require specialized knowledge but serve different functions within the healthcare industry.

What skills and qualifications are needed to be a senior linear accelerator engineer?

To thrive as a Senior Linear Accelerator Engineer, you need expertise in accelerator physics, electronics, mechanical systems, and a relevant engineering degree, often with several years of experience in medical or research accelerator environments. Familiarity with technical tools such as LINAC control software, radiation safety systems, and certifications like Certified Medical Physicist or OEM-specific training are typically required. Strong problem-solving, communication, and leadership skills help you collaborate effectively with multidisciplinary teams and manage complex projects. These skills ensure the safe, reliable, and efficient operation of linear accelerators, which are critical for both patient safety and research outcomes.

What is a senior linear accelerator engineer?

Senior Linear Accelerator Engineers are specialized professionals responsible for the maintenance, calibration, troubleshooting, and repair of linear accelerator machines, which are critical in medical radiation therapy and research. They ensure these complex devices operate safely and efficiently, often working closely with medical physicists and clinical staff. Their role includes performing preventative maintenance, resolving technical issues, and implementing upgrades to meet compliance and safety standards. Due to the technical and safety demands of the job, they typically have advanced training in engineering, electronics, or medical equipment technology, along with years of experience in the field.

What challenges do senior linear accelerator engineers face in maintaining and troubleshooting equipment?

Senior Linear Accelerator Engineers often encounter challenges such as diagnosing complex system malfunctions, minimizing equipment downtime, and ensuring compliance with strict safety standards. The role requires quickly troubleshooting both hardware and software issues in high-pressure situations, often collaborating with physicists, radiation therapists, and service vendors. Staying updated on the latest technological advancements and regulatory changes is essential, as is balancing preventive maintenance with urgent repairs to support uninterrupted clinical operations.
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Infographic showing various Senior Linear Accelerator Engineer job openings in California as of June 2026, with employment types broken down into 92% Full Time, 4% Temporary, and 4% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

Sr. Cloud AI Infrastructure Engineer

Tencent

Palo Alto, CA • On-site

$127K - $173K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Tencent is a leading technology company seeking a Sr. Cloud AI Infrastructure Engineer. This role involves conducting architecture research, optimizing performance for large-scale cloud computing, defining interconnect architecture, and analyzing technology trends in semiconductors and accelerators.
Responsibilities:
• Conduct in-depth research into the underlying hardware logic of various AI accelerators; evaluate the power-efficiency ratio and suitability of different heterogeneous architectures in the context of Large Language Model (LLM) inference and training.
• Design and optimize high-performance operator libraries for large-scale cloud computing environments; resolve long-tail latency issues in hardware scheduling, memory management, and distributed communication.
• Define the interconnect architecture; drive the virtualization, standardized access, and efficient pooling of heterogeneous computing resources in the cloud.
• Monitor global trends in semiconductors and accelerators; perform feasibility studies and experimental validation for the implementation of emerging technologies within cloud infrastructure.
Qualifications:
Required:
• Master’s or Ph.D. degree in Computer Engineering, Electronic Engineering, Microelectronics, or a related field.
• Expertise in GPGPU architectures or other mainstream AI accelerator architectures.
• Proficient in parallel computing frameworks; deep understanding of low-level operator development languages (e.g., CUDA, Triton).
• Solid understanding of large-scale distributed systems, cluster topologies (e.g., Fat-tree, Torus), and high-performance network protocols.
• Familiar with the architectural evolution of global leading computing enterprises; ability to objectively analyze the technical pros/cons and engineering challenges of different architectural paths.
Preferred:
• Experience in the application, optimization, or architectural design of ultra-large-scale accelerator clusters.
• Experience in the low-level adaptation and performance tuning of mainstream deep learning frameworks (e.g., PyTorch, TensorFlow).
Company:
Tencent develops internet, gaming, fintech, and AI solutions, offering social content, enterprise services, and cloud technologies. Founded in 1998, the company is headquartered in Shenzhen, CHN, with a team of 10001+ employees. The company is currently Late Stage.