Edge AI Machine Learning Engineer

R Systems is seeking a talented Edge AI Machine Learning Engineer with specialized expertise in GPU/NPU acceleration to join our team.

The ideal candidate will have extensive hands-on experience in developing and optimizing AI inference models for embedded GPU/NPU architectures. As a Principal Machine Learning Engineer specializing in Edge AI, you will play a crucial role in shaping the future Edge AI solution, leveraging the power of GPU/NPU acceleration and enterprise-grade, large-scale edge computing. You will combine technical excellence with effective leadership, creating a positive impact on both projects and team dynamics.

If you are a skilled Edge AI Machine Learning Engineer with a passion for pushing the boundaries of edge computing and GPU/NPU acceleration, we want to hear from you!

Apply now to be part of our dynamic and collaborative team and join us in shaping the future of AI at the edge and revolutionizing industries with innovative Edge AI solutions!

Your contribution:

Influence the Edge AI strategy by providing expert advice on design and architecture.
Make critical decisions regarding technical directions, scalability, and system performance.
Develop and optimize AI inference models for deployment on edge devices with embedded GPU/NPU accelerators, focusing on low-latency inference runtimes.
Implement and fine-tune low-latency inference pipelines to meet real-time performance requirements.
Collaborate with cross-functional teams to integrate AI inference solutions into edge computing platforms and applications.
Collaborate with the GPU Hardware Design Team to design and optimize GPUs/NPUs that power next-generation devices.
Conduct performance profiling and optimization to maximize the efficiency of GPU/NPU acceleration for Edge AI inference.
Work on micro-architecture development, ensuring efficient execution of graphics, compute, and AI workloads within energy and area constraints.
Stay current with advancements in GPU, NPU, and Edge AI frameworks, incorporating them into solution designs as appropriate.
Provide technical expertise and support to project teams, ensuring successful implementation and deployment of Edge AI solutions.

Bring along:

Bachelor’s degree in computer science, Engineering, or a related field; Master’s degree preferred.
5+ years of hands-on experience in AI model development and deployment, with a focus on edge computing and inference runtime optimization.
Strong programming skills in languages such as Python and C/C++
Proficiency in ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost) with focus on edge AI applications deployment (e.g., Glow, TFLite, TensorRT)
Experience with MLOps frameworks (e.g., Kubeflow, MLflow, TFX, Airflow, H2O)
Extensive experience with GPU/NPU acceleration for AI inference, including optimization techniques (tensor, pipeline, data, sharded data parallelism) and performance tuning,
Hands on experience with one or more GPU/NPU frameworks: CUDA, Vulkan, OpenCL, familiarity with NVIDIA Jetson, ARM Mali, or relevant SoC configurations.
Knowledge of parallel computation, memory scheduling, and structural optimization
Excellent problem-solving and analytical skills, with a passion for innovation and continuous learning.

Additional Skills (Preferred):

Experience with edge device hardware and software integration.
Familiarity with edge computing architectures and IoT platforms.
Experience with edge AI applications in domains such as robotics, autonomous vehicles, or industrial automation

What's in it for you:

Hybrid work policy

A hybrid work policy, to promote and improve work-life balance! We’ll also provide the proper work equipment to ensure there is no digital barrier you can’t break.

Health coverage

Stay healthy and feel always in safe hands with full access to private medical subscription.

Professional development

Keep your knowledge fresh and achieve your professional goals, with free and unlimited access to Udemy online learning platform. We also provide 5 days off yearly to enjoy these courses plus, paid study holiday for bachelor students.

Building a community

If you know some awesome & talented innovators, recommend them to us and you’re in for a neat referral bonus. We also hope you’ll genuinely like us enough to stick around and enjoy our long-term contribution rewards.

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People-centered offices

Our offices are not only hip and cool, with private and co-working spaces, but also situated in central city locations, so that you can get there easily. Coming to the office is also a great opportunity to enjoy some fun activities in the company of your colleagues.

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Food for thought

To feed both your body and brain, we like to organize occasional Lunch & Learn sessions. If these leave you hungry for more, you can always enroll in our mentoring & coaching sessions.

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Healthy rivalry

Running shoes are not included in your welcome kit, but you may need to get a pair ASAP because we take our (inter)company sports competitions very seriously. And if you're competitive but sports are not your forte, you can always join our hackathons or reading marathons.

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A chance to give back

If you’re a charitable soul like us you’ll enjoy planting trees, baking cakes, playing chess, crafting, or donating to a cause in our social community events.

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Lots of fun

Our awesome people may be spread across many countries & cities, but we like to team up for some fun as often as we can. Be it team buildings, parties, or other team events, we take on every opportunity to meet and strengthen our sense of community.

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Who we are as a company:

R Systems is a global technology and analytics services company. We help our clients achieve speed-to-market, overcome digital barriers, and create business value with our specialized service offerings and consultative business approach.

We speak the language of business as fluently as we do the language of technology. In other words: We speak Digital. Our goal: accelerate our clients’ digital leadership.

At R Systems EU, we embrace diversity. Inclusion is a priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.