System and Software Optimization Engineer

Intel

Bengaluru

Hybrid

INR 900,000 - 1,300,000

Full time

3 days ago
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Job summary

Intel is seeking a System and Software Optimization Engineer in Bengaluru to optimize software-hardware interactions across cloud, enterprise, AI, HPC and edge platforms. You will work with partners and customers to identify opportunities, analyze system benchmarks, and demonstrate Intel technology value through practical solutions.

The role requires 6+ years in system-level optimization, strong Python/Bash skills, and Linux proficiency, with a hybrid work model and collaboration across DCG

Qualifications

  • Master's degree in a relevant field with 6+ years of hands-on system-level optimization experience.
  • Proficiency in Python and Bash for system-level software development and optimization.
  • Experience with performance analysis tools, power profiling, benchmarking, and debugging hardware/software interactions.
  • Knowledge of computer architecture, operating systems, and hardware/software interfaces.
  • Proficiency in Linux OS, including Ubuntu or Red Hat Linux.

Responsibilities

  • Optimize cross-stack software to maximize performance of Intel platforms across cloud, AI, HPC, and edge domains.
  • Analyze and benchmark platform performance including power, responsiveness, security, and efficiency.
  • Collaborate with partners and customers to understand software stacks and align roadmaps for value delivery.
  • Develop KPIs and system-level measurement methodologies for hardware–software interactions.
  • Act as a trusted technical advisor influencing Intel's platform and technology roadmaps.

Skills

Python
Bash scripting
Linux OS
Computer architecture

Education

Master's degree in CS/EE

Job description

Job Details
  • Job Type: Experienced Hire
  • Shift: Shift 1 (India)
  • Primary Location: India, Bangalore
Job Description

As a System and Software Optimization Engineer, you will play a pivotal role in optimizing software and hardware interactions to enhance performance across various platforms and applications. You will collaborate closely with partners and customers to identify opportunities for improvement, analyze system-level benchmarks, and showcase Intel's technology value through practical solutions that align with mutual goals. Your contributions will directly impact the efficiency and capability of Intel's platforms in diverse domains such as cloud, enterprise, AI, HPC, and edge computing.

Business group

The Data Center Group (DCG) leads Intel's efforts in advancing data-centric solutions by delivering innovative platforms and technologies that power the modern digital economy. This team focuses on designing, developing, and optimizing solutions for high-performance computing, data management, and infrastructure systems, enabling Intel to address the evolving needs of businesses and organizations globally. Joining this group means contributing to critical advancements in technology that drive Intel's leadership in data-driven innovation.

Key Responsibilities
  • Optimize cross-stack software to maximize performance and functionality of Intel platforms across diverse domains such as cloud, enterprise, AI, HPC, and edge systems.
  • Analyze and benchmark platform performance, including metrics like power, responsiveness, security, and system efficiency.
  • Collaborate with partners and customers to understand their software stacks, align roadmaps, and identify opportunities to deliver enhanced value through Intel technologies.
  • Develop key performance indicators and system-level measurement methodologies to evaluate hardware-software interactions and platform optimization.
  • Act as a trusted technical advisor, providing insights and guidance to influence Intel's platform and technology roadmaps.
Minimum Qualifications
  • Master's degree in a relevant field such as Computer Science, Electrical Engineering, or related discipline, with 6+ years of hands‑on experience in system‑level optimization, software engineering, or related domains.
  • Proficiency in programming languages such as Python, BASH scripting or similar for system‑level software development and optimization.
  • Experience with performance analysis tools and methodologies, including power profiling, benchmarking, and debugging software-hardware interactions.
  • Knowledge of computer architecture, operating systems, and hardware/software interfaces.
  • Proficiency in Linux OS, Ubuntu or Redhat Linux.
Preferred Qualifications
  • Strong communication and collaboration skills to work effectively with cross‑functional teams and external partners.
  • Experience in optimizing software in specific segments such as AI, HPC, cloud, or edge computing.
  • Experience with workload profiling and analysis.
  • Experience with Linux application performance tuning, Virtualization Technologies, and Containerization technologies.
  • Familiarity with system‑level KPIs/KEIs and their application in platform measurement methodologies.
  • A passion for innovation and a commitment to advancing Intel's technology leadership through impactful engineering solutions.

We are excited to welcome motivated individuals who are passionate about driving technological innovation and optimizing platforms at the intersection of hardware and software. Join our team and make a meaningful difference in advancing Intel's leadership in cutting‑edge technologies.

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

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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