Applications engineer high performance computing Work, Jobs in Royston, Hrt (with Salaries)

Senior Applications Engineer - High Performance Computing
MathWorks —Cambridge
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
Staff AI Platform Engineer
Altos Labs —Cambridge
- £97,300 - £128,000 a year
- Computer Science
- Master's degree
- AWS
Staff Linux Support Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- C++
- Linux
- AI
Software Development Engineer, Ring Cloud Computer Vision
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- Java
- C++
Fellow Software Development Engineer (Network Technology Group)
Advanced Micro Devices, Inc —Cambridge
- Doctoral degree
- Computer Science
- Engineering
Principal AI & Compute Engineer, Workforce Development
Arm —Cambridge
- £126,200 - £170,800 a year
- Hybrid work
- Travel
- AI
- Communication skills
Technical Ecosystem Engineer
Arm —Cambridge
- £77,500 - £99,500 a year
- Hybrid work
- AI
12d
Senior Software Development Engineer
Advanced Micro Devices, Inc —Cambridge
- Doctoral degree
- Computer Science
- Engineering
Staff Software Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Software development
- Linux
- Automotive diagnostics
Machine Learning Senior Software Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- English
- C++
- Machine learning
Scientific Simulation Software Developer
Wave Photonics —Cambridge
- £50,000 - £60,000 a year
- Full-time
- C++
- Machine learning
- Communication skills
- Annual leave
Quick apply
Full-stack Engineer
Renesas Electronics —Cambridge
- Full-time
- Remote
- Analysis skills
- JavaScript
- Organisational skills
- Free parking
- Referral programme
Quick apply
Senior Software Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- English
- Windows
- C++
CPU Server Physical Design Engineer, Cambridge, UK
Qualcomm —Cambridge
- Doctoral degree
- Engineering
- Master's degree
- Employee stock purchase plan
Principal Software Engineer - Web Team
Raspberry Pi —Cambridge
- £160,000 - £190,000 a year
- Full-time
- JavaScript
- In-person
- Communication skills
Quick apply
4d
Sr Staff AI Software Development Engineer
Renesas Electronics —Cambridge
- Full-time
- Hybrid work
- Azure
- Management
- Doctoral degree
- Annual leave
- Life insurance
Quick apply
Senior Numerical Physics / Applied Mathematician
PA Consulting —Melbourn
- Full-time
- Business development
- Business
- Communication skills
- Annual leave
Electronics Hardware Engineer
Curtiss-Wright —Letchworth
- Full-time
- Hybrid work
- Laboratory experience
- Employee stock purchase plan
- Annual leave
Senior Product Security Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- C++
- Communication skills
Principal Software Engineer
Aveva —Cambridge
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Annual leave

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applications engineer high performance computing jobs near royston, hrt

Senior Applications Engineer - High Performance Computing

MathWorks -
Cambridge

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Job details

Qualifications

MATLAB
Azure
Doctoral degree
Master's degree
AWS
Bachelor's degree
Simulink
Root cause analysis
Communication skills

Full job description

MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More: https://www.mathworks.com/company/jobs/resources/applying-and-interviewing.html#onboarding.

Join MathWorks and help shape the future of high-performance computing with MATLAB and Simulink. As part of the Advanced Support Group, you will be supporting MathWorks customers in resolving complex technical challenges in parallel computing, GPU acceleration and cloud-based workflows. You will work closely with product development teams on cutting edge use cases to drive product design in a direction that fulfills the evolving needs of our customers.

This role is ideal for engineers who enjoy deep technical problem-solving, nuanced challenges, and are excited to leverage new tools such as Generative AI to amplify their impact.

MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence.

In this role, you will:

Influence the direction of MathWorks' parallel and GPU computing capabilities by providing a user's perspective in our product development process.
Help customers with advanced use cases succeed in leveraging the potential of MathWorks products to solve complex technical problems. This includes code optimization, debugging and scaling workflows across on-premise clusters, cloud platforms (e.g., AWS, Azure), and hybrid environments.
Be part of a diverse global community of engineers and high-performance computing experts within MathWorks.
Leverage Generative AI as part of your engineering toolkit, including
- Accelerating root-cause analysis and debugging
- Creating MATLAB scripts and tools to explore or demonstrate product behavior
- Innovating with agentic or workflow-oriented AI techniques to improve how complex issues are understood and resolved

Keys to your success will be:

Expertise in high performance computing.
Creative problem-solving technical issues.
Identifying and communicating emerging and systemic needs of our customers.

In your first six months, you will:

Leverage internal MathWorks training to extend your knowledge of our products.
Become integrated with the Parallel Computing development teams.
Resolve advanced technical issues faced by customers applying our products.

Excellent communication skills (effectively articulate ideas and provide feedback).
Excellent problem-solving skills.
Effective collaborator within a cross functional environment.
Working experience with parallel programming, MPI, OpenMP, or GPU computing (e.g., CUDA) is a plus.
Working knowledge with cloud, containers, or experience with submitting parallel jobs to HPC schedulers (e.g., Slurm) is a plus.
Proficiency using MathWorks products including MATLAB, Parallel Computing Toolbox and MATLAB Parallel Server is a plus.

A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or a PhD degree, or equivalent experience) is required.

Apply Now

Refine Your Search

applications engineer high performance computing jobs in royston, hrt

Senior Applications Engineer - High Performance Computing

Staff AI Platform Engineer

Staff Linux Support Engineer

Software Development Engineer, Ring Cloud Computer Vision

Fellow Software Development Engineer (Network Technology Group)

Principal AI & Compute Engineer, Workforce Development

Technical Ecosystem Engineer

Senior Software Development Engineer

Staff Software Engineer

Machine Learning Senior Software Engineer

Scientific Simulation Software Developer

Full-stack Engineer

Senior Software Engineer

CPU Server Physical Design Engineer, Cambridge, UK

Principal Software Engineer - Web Team

Sr Staff AI Software Development Engineer

Senior Numerical Physics / Applied Mathematician

Electronics Hardware Engineer

Senior Product Security Engineer

Principal Software Engineer

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