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Salary
≈ $13k – $24k per year (Estimated)
Location
In office (Shanghai)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 16, 2026. HARMAN International scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Stamford, Connecticut, HARMAN International is an audio and connected technology enterprise operating as an independent subsidiary of Samsung Electronics. The company designs and engineers consumer audio hardware, connected car systems, professional lighting, and enterprise automation solutions under iconic brands such as JBL, Harman Kardon, and AKG. Additionally, it provides software engineering, IoT integration, and digital transformation services to automakers, businesses, and consumers globally.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.

A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

What You’ll Be Part Of

This internship focuses on deploying, optimizing, and evaluating AI/ML models across heterogeneous embedded and edge-computing platforms, including NVIDIA Jetson, Qualcomm, and Samsung Exynos. You will work with platform-specific inference frameworks and toolchains to improve model compatibility, efficiency, and runtime performance.

How You’ll Make An Impact

  • Integrate and deploy AI/ML models on different target platforms, including NVIDIA Jetson, Qualcomm, and Samsung Exynos.
  • Convert and adapt models for platform-specific inference engines and deployment toolchains.
  • Optimize and quantize models according to target hardware constraints and performance requirements, including FP16 and INT8 where applicable.
  • Evaluate model performance across different hardware platforms and inference frameworks, covering latency, throughput, memory usage, accuracy, and resource utilization.
  • Analyze performance bottlenecks, troubleshoot model compatibility and runtime issues, and propose practical optimization solutions.
  • Build reusable scripts, test cases, benchmarks, and technical documentation for model deployment and performance evaluation.
  • Collaborate with algorithms, platform, and integration engineers to support model delivery and customer demonstration activities.

What Makes You A Strong Fit

  • Currently pursuing a Bachelor’s or master’s degree in computer science, Artificial Intelligence, Electronic Engineering, Automation, Automotive Engineering, or a related field.
  • Available at least 3 days per week for a minimum internship period of 3 months.
  • Solid programming skills in Python and C/C++, with a good understanding of data structures, algorithms, and Linux development environments.
  • Familiar with deep learning model formats and deployment workflows, especially ONNX.
  • Hands-on knowledge of one or more inference and optimization frameworks, such as Open VINO, TensorRT, TVM, or Qualcomm QNN.
  • Understanding model optimization techniques such as graph optimization, operator fusion, precision conversion, calibration, pruning, and quantization.
  • Ability to design reproducible performance tests, analyze results, and clearly document technical findings.
  • Good analytical, problem-solving, communication, and teamwork skills; able to learn independently and work across teams.

Bonus Points if You Have

  • Project, research, competition, or internship experience in model deployment, edge AI, embedded AI, or heterogeneous computing.
  • Experience with NVIDIA Jetson, Qualcomm Snapdragon platforms, Samsung Exynos, or other embedded accelerators.
  • Experience using profiling tools such as NVIDIA Nsight Systems, TensorRT profiling utilities, OpenVINO benchmark tools, or platform-specific profilers.
  • Knowledge of computer vision models, transformer models, or automotive AI applications such as DMS, OMS, gesture recognition, and intelligent cockpit features.
  • Experience with Git, CMake, Docker, CI/CD, cross-compilation, or automated benchmarking.
  • Strong interest in emerging AI acceleration technologies and the ability to quickly learn new hardware and software toolchains.

Things To Know

  • Willingness to work in an office.
  • You have a working knowledge of English.

What You Can Expect

  • Learning and development opportunities through our award-winning HARMAN University programs.
  • Wellness benefits designed to support your overall well-being.
  • Access to the HARMAN campus fitness center and cafeteria, where available.
  • An inclusive and diverse work environment that supports both your professional and personal development.

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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