AI Software Engineer

Posted 14 Days Ago
Be an Early Applicant
Hyderabad, Telangana, IND
In-Office
Mid level
Automotive • Internet of Things • Mobile • Semiconductor • Industrial
The Role
Develop and optimize scripts and workflows to deploy and benchmark vision and LLM/VLM models on AI accelerators. Measure latency, throughput, accuracy, and power; produce detailed benchmarking reports; collaborate with product, marketing, and support teams.
Summary Generated by Built In

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...

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Skills 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
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The Company
HQ: Eindhoven
21,993 Employees
Year Founded: 2006

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

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