Staff Engineer, AI Software Engineering

Please Note:

To provide the best candidate experience with our high application volumes, we limit applications to a total of 10 over 6 months. 

Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. 

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

What You’ll Do

Samsung SoC R&D Lab in San Diego is seeking talented, highly motivated individuals to join our team conducting deployment of NN models on Samsung Exynos SoC in mobile and automotive. In this team, you will work with team members to enhance the ability of Samsung mobile and automotive products and platforms.

Location: Hybrid, working onsite at our San Jose, CA office 3 days a week, with the flexibility to work remotely the remainder of your time.

Job ID: 42042

• Deploy NN models, especially transformer-based models to Samsung Exynos SoC (NPU, GPU, DSP and CPU) and perform optimizations.
• Implement new features and optimize the existing ones in compiler.
• Participate in the design, implementation, integration, and verification, and contribute to the architectural design.
• Prepare presentations, technical reports and patent applications.

What You Bring

• Bachelors with 10+ years of relevant industry experience, or Masters with 8+ years or PhD with 5+ years in Electrical Engineering, Computer Science or related field preferred.
• Strong software development skills in C/C++, Python, PyTorch, TensorFlow.
• Hands-on experience with neural network (experience with transformer-based models such as BERT, GPT, LLaMA, or LLaVA is a plus) deployment NPU, GPU, DSP or CPU.
• Solid knowledge on deploying AI models to Edge Devices: data flow scheduling, graph optimization, memory allocation and footprint optimization.
• Understanding and experience in ML and DL algorithms as well as LLMs.
• Model quantization, compression, and optimization for better accuracy and latency.
• A strong team player, self-motivated and positive attitude with excellent communication skills.
• MLIR, IREE, LLVM experience is a plus.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-MS1

What We Offer
The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. 

This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and an errand service.
Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to