Principal Hardware Architect - Computer Vision

Key Skills

Algorithms, Analytical and Problem solving, Bash scripting, C++, Computer Vision (CV), GPUs, Machine learning techniques, Python Programming

Job Description

In Arm Central Technology - Systems group, we are seeking a dedicated and motivated individual to play a crucial role in defining and driving the architecture of hardware accelerators, as well as exploring system-level technologies to accelerate computer vision workloads. In this multi-disciplinary position, you will have the opportunity to work closely with world-class specialists and contribute to the advancement of our technology by utilising creative ideas!

Responsibilities:

As an Architect specialising in computer vision applications and hardware units, you will be responsible for a diverse range of tasks that involve both architectural/ micro-architectural design and system-level optimisations

Key responsibilities include, but are not limited to:

• Conducting in-depth analysis of technical papers to gain a comprehensive understanding of classical computer vision and machine learning algorithms from a computational perspective, in addition to investigating research papers on efficient system integration and hardware implementation of these algorithms.
• Generating proposals for hardware optimisations and innovative functional units that facilitate the efficient execution of computer vision algorithms.
• Developing hardware models, algorithmic models and functional models to provide quantitative data on power, performance and area cost of proposed hardware solution.
• Effectively presenting technical findings and concepts, supported by appropriate collateral, in a clear and credible manner.

By fulfilling these responsibilities, you will play a vital role in driving the success of our IPs and contributing to the broader advancement of the field.

Required Skills and Experience:

• Bachelor's or Master's degree in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or a related field.
• Expertise in computer vision, machine learning, artificial intelligence, and image/video processing as well as image and video compression algorithms and standards.
• Strong knowledge of hardware processor design and architecture, including GPUs, DSPs, VPUs, and CV/ML/AI accelerators and Hands-on experience in RTL design using Verilog/System Verilog or VHDL
• In-depth understanding of state-of-the-art heterogeneous compute SoC architectures for mobile devices
• Knowledge of Arm architecture and its integration into heterogeneous compute platforms.
• Excellent understanding of system-level design trade-offs including hardware vs. software partitioning and system performance optimisations.
• Solid grasp of PPA trade-offs in hardware and system architecture design.
• Proficiency in hardware modelling using SystemC or C++ and high level synthesis (HLS) tools
• Strong scripting skills in Python, TCL, and Bash
• Familiarity with EDA tools for ASIC design and implementation
• Excellent interpersonal skills and ability to collaborate effectively with multiple teams under ambitious schedules

“Nice To Have” Skills and Experience:

• Experience with FPGA-based prototyping and emulation.
• Understanding of camera systems and image sensors
• Familiarity with software stacks and APIs associated with CV/ML/ISP/Graphics processor hardware

In Return:

This represents an opportunity to be creative and make a difference. There are also opportunities to actively participate in global conferences and exhibitions within and

External to Arm. The right candidate will also get the opportunity to lead, coach, mentor and/or manage other specialists if up for the challenge as and when opportunities arise.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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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 any characteristic.

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.