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Accelerator Operator Jobs in Georgia (NOW HIRING)

Honeywell

Director Embedded AI Engineering

Atlanta, GA · On-site

$126K - $166K/yr

We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and ... Strong knowledge of embedded systems and real-time operating environments. * Experience working in ...

Honeywell

Director Embedded AI Engineering

Atlanta, GA · On-site

We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and ... Strong knowledge of embedded systems and real-time operating environments. * Experience working in ...

Honeywell

Director Embedded AI Engineering

Atlanta, GA · On-site

We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and ... Strong knowledge of embedded systems and real-time operating environments. * Experience working in ...

IQVIA

Associate Director, Data Analytics

Atlanta, GA · Remote

Establish operating rhythms and delivery governance (planning, prioritization, design reviews ... Deliver scalable pipelines, automations, and accelerators for compliance/regulatory reporting and ...

Diamond Accelerator

Medical Aesthetician

Atlanta, GA · On-site

$50K - $75K/yr

Passion for aesthetics, skincare, and patient education Preferred * 2+ years of experience in a medical spa, dermatology, plastic surgery, or cosmetic practice * Experience with advanced aesthetic ...

Invesco

Senior Cloud Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

... templates, and/or accelerators to enable faster adoption of cloud services. • Develop ... DevOps operating model. • Experience in transforming legacy applications to cloud native ...

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Accelerator Operator information

How much do particle accelerator operators make?

Particle accelerator operators typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. They often require technical skills, certifications, and knowledge of complex equipment to operate and maintain accelerators safely and efficiently.

What jobs can you get with a particle physics degree?

A particle physics degree can qualify you for roles such as accelerator operator, research scientist, data analyst, or laboratory technician. These positions often require strong analytical skills, familiarity with scientific equipment, and knowledge of programming and data analysis tools. Many roles are found in research institutions, government labs, or high-energy physics facilities.

What are the key skills and qualifications needed to thrive as an Accelerator Operator, and why are they important?

To thrive as an Accelerator Operator, you need a solid background in physics or engineering, strong mathematical skills, and often at least a bachelor's degree in a related field. Familiarity with accelerator control systems, vacuum technology, radiation safety protocols, and relevant certifications like radiation worker training are typically required. Strong problem-solving abilities, attention to detail, and clear communication skills help operators manage complex procedures and collaborate effectively with scientific teams. These skills and qualifications are vital for ensuring the safe, efficient, and precise operation of particle accelerators used in research and industry.

What does an accelerator operator do?

An accelerator operator is responsible for managing and maintaining particle accelerators used in research or industrial applications. They monitor equipment, ensure safety protocols are followed, and troubleshoot technical issues, often working with control systems and requiring technical training or certifications. Their role is essential for the smooth operation of accelerator facilities and experiments.

What Is an Accelerator Operator?

An accelerator operator controls a particle accelerator during an experiment. A particle accelerator is a complex machine used in physics research that conducts charged particles at near light speed in confined beams. As an accelerator operator, you work directly with the physicist or research team running the experiment and ensure that all the parameters of the experiment are accounted for and set. Your duties and responsibilities are to calibrate the systems, review the schedule, make any adjustments to the particle beam before running the test, and help analyze the outcome.

What are some typical challenges an Accelerator Operator might face during a shift, and how are they addressed?

Accelerator Operators often encounter challenges such as equipment malfunctions, unexpected fluctuations in beam performance, or strict adherence to safety protocols. Addressing these issues requires quick troubleshooting skills, close collaboration with engineers and physicists, and the ability to follow detailed operational procedures. Operators typically document all anomalies and work closely with technical teams to resolve issues efficiently, ensuring minimal downtime and a safe working environment.

What jobs pay 500,000 a year in the US?

Jobs that can pay $500,000 or more annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as successful entrepreneurs, high-level investment bankers, and certain specialized medical professionals like surgeons. These roles typically require extensive experience, advanced skills, and often involve significant responsibilities or ownership stakes.

What are Accelerator Operators?

Accelerator Operators are professionals who control and monitor particle accelerators—large machines used in scientific research to accelerate subatomic particles to high speeds. They are responsible for starting, adjusting, and shutting down accelerator equipment, as well as troubleshooting issues and ensuring safe operation. Accelerator Operators work closely with scientists and engineers to support experiments in fields such as physics, materials science, and medicine. Their role requires strong technical skills, attention to detail, and the ability to follow strict safety protocols.

What is the difference between Accelerator Operator vs Pump Operator?

AspectAccelerator OperatorPump Operator
Required CredentialsHigh school diploma, technical training, safety certificationsHigh school diploma, technical training, safety certifications
Work EnvironmentIndustrial facilities, power plants, manufacturing plantsRefineries, chemical plants, water treatment facilities
Employer & Industry UsageEnergy, manufacturing, research facilitiesOil & gas, chemical, water industries

Both Accelerator Operators and Pump Operators require similar certifications and work in industrial environments. However, Accelerator Operators focus on managing particle accelerators or similar equipment, while Pump Operators handle fluid transfer systems. Their roles are distinct but share overlapping skills in safety and technical operation within industrial settings.

More about Accelerator Operator jobs
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What job categories do people searching Accelerator Operator jobs in Georgia look for? The top searched job categories for Accelerator Operator jobs in Georgia are:
What are popular job titles related to Accelerator Operator jobs in GA? For Accelerator Operator jobs in GA, the most frequently searched job titles are:
Accelerator Operator jobs near you

AI Infrastructure Engineer

Bright Vision Technologies

Cumming, GA • Remote

$100K - $150K/yr

Full-time

Posted 5 days ago

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled AI Infrastructure Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.AI Infrastructure EngineerJob Title: AI Infrastructure Engineer
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Salary Range : $100k to $150k per annnum
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work.
Key Responsibilities
  • Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations.
  • Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams.
  • Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering.
  • Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate.
  • Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication.
  • Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics.
  • Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale.
  • Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing.
  • Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently.
  • Partner with research and applied ML teams to plan capacity for upcoming training runs.
  • Implement security controls, isolation, and access management for multi-tenant AI infrastructure.
  • Drive automation across cluster provisioning, lifecycle management, and configuration enforcement.
  • Maintain runbooks, capacity dashboards, and operational documentation for the AI platform.
  • Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in infrastructure, platform, or HPC engineering.
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
  • Strong proficiency in Python and at least one systems language such as Go or C++.
  • Deep understanding of distributed training, accelerator architectures, and collective communication.
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads.
  • Strong understanding of Linux internals, networking, and high-performance storage.
  • Experience with at least one major cloud provider’s ML infrastructure offerings.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience operating InfiniBand or RDMA networking at scale.
  • Contributions to open-source ML infrastructure projects.
  • Familiarity with custom orchestrators or research-grade training stacks.
  • Exposure to frontier model training operations.
  • Experience with FinOps for AI workloads.

How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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