AI Software Tools Technical Lead

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. 

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.

Samsung Semiconductor, Inc. is a world leader in Memory, System LSI and LCD technologies. As a member of Samsung’s Memory Solutions Lab (MSL), you will be part of an Advanced Research and Development team developing the next generation of enterprise memory and storage technologies. The team innovates, solves key technical problems in areas and products related to Samsung’s HBM, DRAM and NAND flash memory technologies, and tackles a variety of challenging issues in data center, server, and AI software infrastructure.

The ideal candidate for this role would share our passion for creating and innovating new technologies, and thrive in a highly dynamic, fast-paced, results-driven environment. We are looking for highly talented, passionate, and versatile engineers who share our vision and contribute to the creation of next generation memory solutions.

Joining a team of experts in researching and developing innovative solutions, the candidate will be leveraging existing and emerging technologies to add substantial value to Samsung. The team covers a broad spectrum of topics and is building an ecosystem surrounding efficient utilization of next-generation AI hardware. You will be working with the-state-of-art technologies in the context of vertical integration and optimization across hardware and software.

What You’ll Do

• Build performance-intensive and power-efficient software solutions showcasing state-of-the-art AI competencies
• Conduct key research and development activities to design, develop and evaluate next-generation computing systems for emerging ML/AI workloads
• Create key IPs, implement prototypes, write or publish papers, and contribute to standardization
• Partner with other hardware/software architects to build profiling, performance measurement tools for future products, and contribute to feasibility studies.
• Collaborate with universities and international teams on building strong research initiatives

What You Bring

• BS in Computer/Electrical Engineering or Computer Science with 15+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 13+ years of relevant working experience or PhD and 10+ years of relevant working experience preferred.
• Proficient with designing, developing and deploying custom on-prem AI Software Tools meeting performance KPIs and security, privacy SLAs
• Hands-on expertise in full stack performance profiling and bottleneck analysis enabling data-driven software resolution
• Familiarity in building CI-CD pipelines, containerization of AI software stack employing Agile methodologies
• Prior hardware/software/system co-design experience and ability to collaborate with both the hardware and the software teams effectively
• Demonstrated Deep Learning software development and expertise with frameworks such as PyTorch, TensorFlow, etc.,
• Proven experience with building software tooling applications for hardware, software performance profiling with GenAI LLM workloads
• Open-source contributions on software tools/applications employing LLM workloads
• Hands-on experience and skill in optimizing deep learning workloads on heterogeneous hardware backends
• Good knowledge and expertise in AI accelerator hardware design and architecture
• Familiarity with deploying custom LLM pipelines and workloads to measure software stack performance
• Good analytical abilities and problem-solving skills
• Prior experience with pipeline development in Gitlab and docker containerization

#LI-VL1

Equal Opportunity Employment Policy 

Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

Recruiting Agency Policy

We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.

Covid-19 Policy

To help keep our employees, customers, and communities safe, we've developed guidelines for our team. Currently, we encourage vaccination for all employees and may require it depending on job functions (e.g., traveling for business, meeting with customers). While visiting our offices or attending team events, we ask employees to complete a daily health questionnaire and complete a weekly COVID test. Our COVID policies are subject to change depending on public health, regulatory, and business circumstances. 

Applicant Privacy Policy
https://semiconductor.samsung.com/us/careers/privacy