System SW Dev Engineer

Intel
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 59K

Job location

Tech stack

Artificial Intelligence
Bash
C++
Computer Programming
Firmware
Python
Open Source Technology
Performance Tuning
TensorFlow
Software Systems
Large Language Models
Information Technology

Job description

  • We're looking for a collaborative & experienced SW Engineer to join our global Workload Services Framework (WSF) engineering organization supporting next-generation engineering innovations delivering scalable high-quality E2E workloads & SW stacks for edge workloads supporting Intel NEX roadmap.
  • This role includes design, integration, benchmarking, performance analysis& optimizations, and publishing collaterals for Edge SW services & solutions. In this role, you will analyze existing Edge SW services and workloads to determine technical requirements, potential solutions, and required automation for scale, and drive resolution working across teams and organizations as necessary. You are a strong hands-on engineer who can design, implement, and deploy holistic solutions harnessing both hardware and software ingredients to solve real-world customer usage problems. You will leverage and enhance existing architectures/solutions and fill in gaps to stand up end-to-end edge software solutions.
  • This position requires a broad understanding of edge systems and necessitates interfacing with Architecture, Design, and Validation teams. You are expected to understand the full solution - top-to-bottom that includes HW platforms (Pre and Post Silicon), FW and layers of edge SW(driver, AI framework, etc.) - in order to effectively root cause issues and collaborate with cross-functional HW, FW and SW teams to solve complex issues.

Requirements

Must Have

  • Proficiency in pytorch, Tensor Flow, OpenVINO, and other relevant AI frameworks.
  • Strong understanding of AI model/pipeline design, development and performance optimization
  • Hands-on experience optimizing Edge system firmware, kernel, drivers, framework
  • Excellent programming skills in languages like C/C++, Python, Shell etc., * Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
  • Minimum of 7 years of relevant industry experience in Edge and AI workload development
  • Demonstrated expertise in working on edge-domain software stack development., * Master's or higher degree in a relevant field
  • Familiarity with emerging trends in AI technologies, especially in LLM
  • Previous contributions to open-source edge projects
  • Strong Team player, collaborative, and thrives in a fast-paced, dynamic environment.
  • Excellent verbal and written communication and problem-solving skills with the ability to clearly define and communicate problems with strong influencing skills and working across multiple groups and sites and drive for alignment and problem resolution.

Benefits & conditions

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel's offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements.

Working Model

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.

In certain circumstances the work model may change to accommodate business needs.

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