Bengaluru Karnataka Principal machine learning engineer, itc Jobs – 264 Open Jobs Today

Lead Engineer,Senior-ARM,CPU
Qualcomm —Bengaluru, Karnataka
- Doctoral degree
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Principal Machine Learning Engineer, Document AI Data (Tech Lead Manager)
ABBYY —Bengaluru, Karnataka
- Remote
- Management
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Takeda Pharmaceutical —Bengaluru, Karnataka
- Full-time
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Okta —Bengaluru, Karnataka
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Principal Software Engineer, RBS - Tech
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
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Level AI —Bengaluru, Karnataka
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Principal Engineer - Power Electronics
GE Vernova —Bengaluru, Karnataka
- Full-time
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Principal Machine Learning Engineer
Ema —Bengaluru, Karnataka
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Collins Aerospace —Bengaluru, Karnataka
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Principal Software Engineer - Access Foundation
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GlaxoSmithKline —Bengaluru, Karnataka
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ABBYY —Bengaluru, Karnataka
- Remote
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Okta —Bengaluru, Karnataka
- Computer Science
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Acceldata —Bengaluru, Karnataka
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Société Générale —Bengaluru, Karnataka
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Cognite - AI for Industry —Bengaluru, Karnataka
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Lead Software Engineer, ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
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Synopsys —Bengaluru, Karnataka
- In-person
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Lead Engineer,Senior-ARM,CPU

Qualcomm -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

Doctoral degree
Computer Science
Engineering
Information Systems
M.Eng
Java
Master's degree
OS Kernels
C++
C
Bachelor's degree
Machine learning
ARM
Python

Full job description

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Detailed JD:

==========

Job Description: CPU Software & Hardware Co-Design Engineer (ML Systems)

Location: Bangalore (or relevant)
Levels: Engineer / Senior Engineer / Staff / Principal Engineer

Role Overview

We are building a high-impact team at the intersection of CPU architecture, machine learning workloads, and system-level performance optimization . This role focuses on CPU software–hardware co-design for next-generation QMX architectures , including workload characterization, simulation, kernel optimization, and driving architectural insights for future CPU designs. The ideal candidate will work across the full stack—from ML models to low-level kernels to architectural feedback—enabling efficient execution of ML workloads on CPU platforms .

Key Responsibilities

1. ML Workload Identification & Characterization

Identify and prioritize critical ML use cases and models for CPU-centric execution (LLMs, vision, speech, recommender systems, etc.)
Analyze workload characteristics including:
- Compute intensity
- Memory bandwidth and cache behavior
- Parallelism and dataflow patterns

2. Simulation & Trace Generation

Generate detailed execution traces for ML workloads using QEMU or equivalent simulators
Develop tooling to:
- Capture instruction-level execution behavior
- Extract performance counters and bottlenecks
Enable accurate modeling of workload behavior for architectural exploration

3. Bottleneck Analysis & Performance Optimization

Identify system bottlenecks across:
- CPU pipelines
- Memory hierarchy
- Instruction utilization
Optimize critical hotspots through:
- Kernel-level tuning
- Algorithmic improvements
- Data layout and memory optimizations
Drive measurable improvements in workload performance

4. Software–Hardware Co-Design

Collaborate with CPU architecture and design teams to:
- Provide data-driven insights from real workloads
- Identify inefficiencies and propose architectural enhancements
Influence next-generation CPU features in:
- Compute units
- Vector/SIMD extensions (e.g., QMX)
- Memory subsystems

5. ML Kernel & Library Development (QMX Focus)

Design and implement highly optimized ML kernels and libraries for QMX architecture
Develop kernels for:
- GEMM, convolution, attention, activation functions, etc.
Enable integration with:
- Open-source ML frameworks (e.g., PyTorch, ONNX, XNNPACK, MLAS)
Apply advanced optimizations:
- SIMD/vectorization
- Cache-aware execution
- Parallel execution strategies

6. Benchmarking & Performance Engineering

Optimize CPU-centric ML benchmarks such as:
- Geekbench AI
- Internal benchmarking suites
Establish performance baselines and track improvements across hardware generations
Perform competitive analysis and performance positioning

Required Qualifications

Strong background in:
- Computer Architecture / Systems Programming
- Machine Learning fundamentals
Proficiency in:
- C/C++ (mandatory)
Experience with:
- Performance profiling, benchmarking, and optimization

Preferred Qualifications

Experience with:
- QEMU or equivalent simulators
- ML kernel development (GEMM, convolution, attention)
Knowledge of:
- CPU architecture (pipelines, caching, SIMD/vector extensions such as NEON, SVE, QMX)
Familiarity with:
- ML frameworks and inference stacks
Experience with low-level optimization:
- Intrinsics, assembly, memory and cache tuning

Why Join This Team

Work on next-generation CPU architectures (QMX)
Directly influence hardware design through real workload insights
Solve end-to-end ML performance challenges (model kernel silicon)
Collaborate with top architecture, systems, and AI teams
High-impact role with visibility across product and research roadmaps

Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers .

Apply Now

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principal machine learning engineer, itc jobs in bengaluru karnataka

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Principal Engineer-Emulation/Validation- PCI/CXL/DDR/Ethernet

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