Principal Machine Learning Performance Kernel Engineer
8 Days Old
Principal Machine Learning Performance Kernel Engineer
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Principal Machine Learning Performance Kernel Engineer
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Join to apply for the Principal Machine Learning Performance Kernel Engineer role at Arm
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Job Overview
The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm development, and tools, driving this unified effort forward.
Job Overview
The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm development, and tools, driving this unified effort forward.
Develop in depth understanding of ML workload, develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current and future Arm platforms.
- Implementation of performance critical machines specific kernel or ARM assembly code on dedicated hardware accelerator and CPU to drive algorithm and architecture exploration
- Collaborate with ML Algorithm development team to explore performance critical analysis
- Develop internal tooling capabilities to support algorithmic and architecture exploration
- Develop performance critical assembly code to accelerate ML operations done in low precision arithmetic
- Develop performance critical kernel to accelerate fusing of multiple ML operations on accelerators
- Explore different quantization schemes and assess performance PPA trade off
- 3+ years experience in developing performance critical kernel on dedicated accelerator, GPU or CPU
- Graduate students in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields
- Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques
- Overall high-level knowledge of computer architecture, systems, and HW-SW co-design
- Ability to develop and work with large software systems in programming languages like Python
- Knowledge of cutting-edge deep learning libraries such as Tensorflow, and Pytorch
- Willing to learn and train large deep learning models on GPU-based systems
- Experience with ML model design, optimization, and HW-SW co-development methodology
- ML Model Optimization techniques targeting PPA (Performance, Power, and Area) of neural networks on ARM compute platforms
- Adaptability to the fast-moving ML industry and willingness to learn new technology in a very dynamic environment
Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow
In addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.
Accommodations at Arm
At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Hybrid Working at Arm
Arm’s hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
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Engineering and Information TechnologyIndustries
Semiconductor Manufacturing, Software Development, and Computer Hardware Manufacturing
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#J-18808-Ljbffr- Location:
- Cambridge, England, United Kingdom
- Salary:
- £125,000 - £150,000
- Job Type:
- FullTime
- Category:
- Engineering
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