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Sr Deep Learning Hardware Engineer

Intel -
Leixlip, County Kildare

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Job details

Full-time
€76,900–€142,100 a year
6 days ago

Qualifications

TensorFlow
Computer Science
Engineering
Git
C++
SoC
C
Bachelor's degree
Computer Engineering
Scripting
OpenCV
SystemVerilog
AI
Communication skills
Python

Full job description

Job Details:

Job Description:

The Role and Impact The Intel NPU IP team is looking for a Sr Digital Verification Engineer to work on the validation of NPU AI accelerator products. In this role you will join the NPU Hardware Pre-Silicon Validation team working closely with design engineers, model engineers and AI architects to validate components of the next generation NPU IP portfolio, your contributions will directly shape Intel's advancements in AI technologies. As an expert in the field of pre-Silicon verification, you will be seen as the go to person on the blocks that you have ownership and sign-off responsibility for. The primary role will be focused on pre-Silicon functional, power and performance validation however experience in formal verification methodologies and assertion-based verification using System Verilog Assertions (SVA) is considered highly. Your responsibilities will include: • Functional and/or Formal Verification of complex low power digital design block(s) on the latest generations of Intel's NPU AI accelerators. • Architect, development and implementation of verification environments from initial planning through the validation lifecycle to review and signoff. • Development of test plans and test cases • Implementation of random test generators, high level transactional models, bus functional models (BFMs), functional/formal constraints, checkers and scoreboards, coverpoints/covergroups and SVA properties • Collaborate with cross-functional teams to analyses and address next-generation AI requirements, influencing the AI product roadmap. Leixlip is the primary location for this position, however, we offer some flexibility to support your work/life balance arrangements. Business group The Artificial Intelligence and Deep Learning team drives innovation in AI hardware development, aligning with Intel's mission to deliver world-class solutions in the AI domain. With a focus on building state-of-the-art hardware that supports cutting-edge AI models, the team collaborates across Intel to enable breakthroughs in efficiency, scalability, and performance for AI workloads on devices and in the cloud. Join us to be part of a group that defines the future of AI hardware engineering.

Qualifications:

Minimum Qualifications - Bachelor's degree in Electronic, Computer Engineering, Computer Science or a related field. - 8+ years of relevant industry experience, in pre-silicon validation of IP's, ASIC, SoC, or FPGA designs. - Fully proficient with industry standard verification tools and methodologies (System Verilog, VCS, UVM, OVM etc) - Expertise in developing testbenches, test plans, and functional/formal verification environments. - Proven track record of signing off complex designs through coverage closure and related techniques. - A self-starter with good communication and interpersonal skills. - Proven ability to collaborate in diverse team environments and take on leadership roles. - Strong problem-solving skills and ability to adapt to a fast-paced, innovative environment. Preferred Knowledge - Experience with validating low power and high performance designs, HW accelerators being a major plus. - Proficiency in System Verilog Assertions. - Experience with formal verification techniques and tools - Knowledge of Git and Continuous Integration (CI) practices. - Established knowledge of SoC based CPUs, NoCs, AMBA protocols, and memory controllers. - Experience with other programming languages such as C, C++, Python, Shell scripting and TCL. - Understanding of deep learning techniques and experience working with frameworks such as TensorFlow, PyTorch, or OpenCV is an advantage. - Passion for exploring and AI techniques, tools and flows to aid in faster validation closure. We invite you to bring your expertise and creativity to a team that is shaping the future of AI hardware solutions. Apply today and join Intel's journey to transform the landscape of artificial intelligence innovation.

Job Type:

Experienced Hire

Shift:

Shift 1 (Ireland)

Primary Location:

Ireland, Leixlip

Additional Locations:

Business group:

Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

EU Salary

We offer a total compensation package that ranks among the best in the industry.

Annual Salary Range for this job which could be performed in Ireland is: €76,900.00 - €142,100.00

The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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