Role Summary:
- Work closely with technical marketing, product, and customer support teams in understanding the benchmark data requirements. Explore various bench marking methods , tools used in vision,LLM/VLM models and adopt the same to evaluate Kinara products
- Writing and optimizing scripts for deep learning model deployment and benchmarking. Preparing detailed benchmarking and analysis reports for engineering and marketing stakeholders.
Job Responsibility:
- Proficiency in Python (for AI workload scripting/optimization), C or C++ (for low-level performance work).
- Familiarity with AI accelerators, LLM frameworks, and inference servers.
- Measuring and reporting on latency, throughput, accuracy, and power consumption of AI workloads.
- Familiarity with MLPerf and MLFlow bench marking suites for computer vision models
- Familiarity with various LLM bench mark methods like MMLU, HumanEval, GSM8K, ARC Challenge, GPQA..etc
- Working knowledge of Linux environments and device driver internals is often preferred.
- Familiarity with CI/CD tools, version control (GitHub), and automation frameworks.
Job Qualification:
- BTech in ECE/CS 4+ years of experience, Machine Learning, or a related field.
- Exposure to Neural Networks, AI/ML/DL models, training, and frameworks like TensorFlow, Caffe, and PyTorch.
- Experience in developing AI workload flows in C++ and Python
- Experience in performance evaluation of hardware and software systems.
More information about NXP in India...
#LI-29f4Skills Required
- Proficiency in Python for AI workload scripting and optimization
- Experience with C or C++ for low-level performance work
- Familiarity with AI accelerators, LLM frameworks, and inference servers
- Measuring and reporting latency, throughput, accuracy, and power consumption
- Familiarity with MLPerf and MLFlow benchmarking suites
- Familiarity with LLM benchmark methods (MMLU, HumanEval, GSM8K, ARC Challenge, GPQA)
- Working knowledge of Linux environments
- Working knowledge of device driver internals
- Familiarity with CI/CD tools, GitHub, and automation frameworks
- BTech in ECE/CS or related field with 4+ years of experience
- Exposure to neural networks and ML/DL frameworks (TensorFlow, Caffe, PyTorch)
- Experience developing AI workload flows in C++ and Python
- Experience in performance evaluation of hardware and software systems
NXP Semiconductors Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NXP Semiconductors and has not been reviewed or approved by NXP Semiconductors.
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Retirement Support — Feedback suggests the 401(k) program is strong, with reports of a 100% match on the first 5% of base salary. This is seen as a solid pillar of the overall rewards package.
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Equity Value & Accessibility — An employee stock purchase plan with a 15% discount is highlighted as a meaningful benefit. This feature adds perceived long-term value beyond base pay.
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Healthcare Strength — Medical, dental, and vision coverage alongside HSA/FSA options and wellness incentives are described as comprehensive. These offerings contribute to a sense of robust core benefits.
NXP Semiconductors Insights
What We Do
NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As a world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 employees in more than 30 countries and posted revenue of $13.21 billion in 2022. Find out more at www.nxp.com. Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA
