Level

Intel

AI Software Development Engineer

AI in this role

Design and build cloud-native and edge AI platforms, deployment frameworks, and model lifecycle management tools.

pythonckubernetesdockerazureaws
ml-opsai-platformsmlopsinference-optimizationdistributed-systemsgenerative-ai
Job Details:

Job Description: 

The Role and Impact
Seeking an experienced AI Platform Engineer with 5+ years of industry experience to design and build cloud-native and edge AI platforms. Responsibilities include developing AI deployment frameworks, model lifecycle management, containerized AI workloads, inference optimization, and platform services for scalable edge deployments. Strong hands-on experience with Python, AI/ML frameworks, Kubernetes, Docker, cloud platforms (Azure/AWS), MLOps, and distributed systems is required. Experience deploying AI solutions across cloud and edge environments is highly desirable.
Business group
Intel Corporation is a global leader in innovation, driving advancements across computing and AI technologies. As part of this business group, you will join a team focused on developing AI solutions that push the boundaries of performance, efficiency, and functionality. Together, we work to enable transformative solutions that support Intel's broader mission of creating world-changing technology.

Key Responsibilities
- Design, develop, and debug software to enable AI features across Intel's product portfolio.
- Collaborate with internal and external partners to optimize AI solutions spanning firmware, drivers, OS, middleware, frameworks, algorithms, and applications.
- Develop reference AI software and optimize customer designs to ensure maximum utilization of Intel AI products.
- Improve AI workloads and benchmarks to support power and performance analyses and architecture recommendations.
- Contribute to AI software development within the open-source community to drive adoption and innovation.

Qualifications:

Minimum Qualifications
- Bachelor's degree in Computer Science, Electronic Engineering, Electrical Engineering, or a related field with 4+ years of experience in software development OR a Master's degree with 3+ years of experience OR a PhD with no prior professional experience. Requirements can be met through a combination of industry experience, internships, and academic projects.
- Proficiency in Python and C++ programming.
- Experience developing software for Linux environments, including multiple distributions (e.g., deb, RPM).
- Demonstrated expertise in AI technologies, such as Generative AI, AI models, training, inference, and AI frameworks.
- Familiarity with software development in open-source communities.

Preferred Qualifications
- Strong written and verbal communication skills.
- Proven ability to collaborate effectively in multidisciplinary teams.
- Experience with AI workload optimization for benchmarking and simulation.
- A proactive mindset with a passion for innovation and problem-solving.

We invite you to be part of a team shaping the future of Artificial Intelligence, where your expertise will drive meaningful advancements in technology and create opportunities for growth and impact.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

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.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

How we rate this

AI Software Development Engineer at Intel rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

ML OpsAI PlatformsMlopsInference OptimizationDistributed SystemsGenerative AIPythonC

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Tell me about a project where ai platforms was part of your work. What did you do?
  3. Tell me about a project where mlops was part of your work. What did you do?
  4. Tell me about a project where inference optimization was part of your work. What did you do?
  5. Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: ML Ops, AI Platforms, Mlops, Inference Optimization, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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