AI Software Engineer
Hyderabad Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Nxp. Hyderabad · full-time.
Pay not stated AI Software Engineer salary
RoleAI Engineering
SeniorityMid-level
LocationHyderabad
EmploymentFull-time
PostedJul 1, 2026 · 3mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Work with technical marketing, product and support teams to define benchmark data needs
- Test benchmarking approaches and tools for vision, LLM and VLM models to evaluate Kinara products
- Write and tune scripts that deploy deep learning models and run benchmarks
- Measure workload latency, throughput, accuracy and power, then report findings to engineering and marketing teams
What you bring
- A BTech in ECE, computer science, machine learning or a related discipline
- At least four years of experience in the field
- Experience building AI workload flows with C++ and Python, plus evaluating hardware and software performance
- Exposure to neural networks, AI/ML/DL models and training, with frameworks such as TensorFlow, Caffe or PyTorch
Who this fits
This mid-level role suits someone focused on AI workload scripting, deployment and performance benchmarking. The position is based in Hyderabad, India.
From the employer
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.