FlexAI
Lead SoC Architect R&D HW · San Francisco (Bay Area) ·
FlexAI, San Francisco, California, United States, 94199
Join FlexAI:
FlexAI
is revolutionizing AI computing by reengineering infrastructure at the system level. We are seeking a seasoned and visionary
Lead SoC Architect
to spearhead the design and development of our groundbreaking AI-centric System-on-Chip (SoC) architectures while inspiring and guiding a team of talented architects and engineers.Our innovative compute architecture, coupled with sophisticated software intelligence and orchestration, allows developers to leverage a diverse array of compute, resulting in efficient, more reliable computing at a fraction of the cost. This architecture ensures a well-balanced distribution of memory bandwidth, capacity, and compute density—forming the backbone of our datacenter-in-a-box concept. Enabled by our universal AI compute cloud service, our hardware solutions set new benchmarks in performance and efficiency, seamlessly integrating with our AI cloud offerings and other cloud service providers worldwide.Position OverviewAs the
Lead SoC Architect
,
you will drive the architectural design and development of cutting-edge AI SoC solutions while inspiring and empowering a team of exceptional engineers. Your experience and foresight will be crucial in defining the SoC architecture to meet AI workload demands and ensure scalability, performance, and power efficiency. As a key leader within our SoC team, you will be pivotal in shaping the company’s AI strategy and technological roadmap.Success at FlexAI requires an entrepreneurial spirit and startup mindset: the ability to rapidly iterate and make meaningful progress while staying focused on our mission to deliver more compute with less complexity. Your proven expertise in cultivating influence, aligning diverse stakeholders, and driving efficient operations–while fostering a supportive environment through mentorship and thoughtful leadership of a growing team–will be critical to your success.
What you'll do:Architectural Leadership:Lead the design of AI-specific SoC architectures, ensuring optimal integration of AI accelerators, CPUs, memory subsystems, and interconnects.
Set technical direction and strategy for AI SoC development, aligning with business goals and market demands.
Ensure architectural designs are scalable, high-performing, and energy-efficient to meet the needs of AI-driven applications.
Team Leadership:Manage and mentor a team of SoC architects, guiding their technical development and fostering a collaborative working environment where innovation thrives.
Provide technical leadership across cross-functional teams –including hardware, software, verification, and system integration–to drive projects toward collective success.
Lead design reviews, providing critical feedback to ensure the quality and robustness of the architecture.
AI Accelerator and System Integration:Define and optimize AI acceleration blocks (e.g., NPUs, tensor cores, etc.) within the SoC architecture to maximize performance on AI/ML workloads.
Ensure seamless integration of hardware and software, working closely with AI and machine learning algorithm teams to optimize the end-to-end performance.
Performance and Power Optimization:Analyze system-level performance and power consumption for AI workloads, identifying bottlenecks and proposing architectural improvements.
Lead power management strategies, including dynamic voltage and frequency scaling (DVFS) and low-power design techniques.
Memory and Dataflow Architecture:Architect efficient memory hierarchies (e.g., SRAM, DRAM, caches) and interconnects to support high-throughput AI computations.
Optimize data movement and flow within the SoC to minimize latency and maximize data reuse.
Technology and Roadmap Planning:Drive the technical roadmap for AI SoCs, evaluate emerging technologies, anticipate industry trends, and analyze competitor solutions to position us at the forefront of the AI hardware landscape.
Influence long-term strategy decisions, such as process technology selection, IP licensing, and partnerships for future SoC developments.
Cross-Functional Collaboration:Work closely with product management and other stakeholders to define requirements and translate them into architectural solutions.
Collaborate with verification and validation teams to ensure architectural correctness, functionality, and performance.
What you’ll need to be successful:Master’s or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
12+ years of experience in SoC architecture design, with a significant focus on AI/ML workloads.
Proven track record of leading architectural design and development for complex SoCs, with successful product launches.
Extensive experience with AI hardware accelerators, deep learning algorithms, and AI hardware-software co-design.
Deep understanding of AI hardware, including NPUs, tensor cores, matrix multipliers, and other AI accelerators.
Strong expertise in CPU/GPU design, memory hierarchies, and interconnects, as well as power optimization techniques.
Proficiency in performance modeling, analysis, and hardware description languages (e.g., Verilog, VHDL).
Proven leadership experience in managing and mentoring engineering teams.
Strong decision-making abilities and a strategic mindset to influence company-wide AI SoC design.
Excellent communication skills for working across technical and non-technical teams.
Preferred SkillsExperience with AI/ML software frameworks (e.g., TensorFlow, PyTorch, ONNX).
Familiarity with chip design EDA tools and the chip fabrication process.
Experience in developing SoCs for edge AI, automotive, or other specialized AI markets.What we offer:A competitive salary and benefits package, tailored to recognize your dedication and contributions.The opportunity to collaborate with leading experts in AI and cloud computing, learning from the best and the brightest, fostering continuous growth.An environment that values innovation, collaboration, and mutual respect.Support for personal and professional development, empowering you with the tools and resources to elevate your skills and leave a lasting impact.A pivotal role in the AI revolution, shaping the technologies that power the innovations of tomorrow.About FlexAIFounded by
Brijesh Tripathi
and
Dali Kilani , who bring experience from Nvidia, Apple, Tesla, Intel, Lifen, and Zoox, FlexAI is not
just
building a product – we’re shaping the future of AI. Our teams are strategically distributed across Paris, Silicon Valley, and Bangalore, united by a shared mission: to deliver more compute with less complexity.
Apply NowDoes this opportunity align with your aspirations? If you’re even slightly curious, we encourage you to apply – it could be the start of something extraordinary!
At FlexAI, we believe diverse teams are the most innovative teams. We’re committed to creating an inclusive environment where everyone feels valued, and we proudly offer equal opportunities regardless of gender, sexual orientation, origin, disabilities, veteran status, or any other facets of your identity that make you uniquely
you .
#J-18808-Ljbffr
FlexAI
is revolutionizing AI computing by reengineering infrastructure at the system level. We are seeking a seasoned and visionary
Lead SoC Architect
to spearhead the design and development of our groundbreaking AI-centric System-on-Chip (SoC) architectures while inspiring and guiding a team of talented architects and engineers.Our innovative compute architecture, coupled with sophisticated software intelligence and orchestration, allows developers to leverage a diverse array of compute, resulting in efficient, more reliable computing at a fraction of the cost. This architecture ensures a well-balanced distribution of memory bandwidth, capacity, and compute density—forming the backbone of our datacenter-in-a-box concept. Enabled by our universal AI compute cloud service, our hardware solutions set new benchmarks in performance and efficiency, seamlessly integrating with our AI cloud offerings and other cloud service providers worldwide.Position OverviewAs the
Lead SoC Architect
,
you will drive the architectural design and development of cutting-edge AI SoC solutions while inspiring and empowering a team of exceptional engineers. Your experience and foresight will be crucial in defining the SoC architecture to meet AI workload demands and ensure scalability, performance, and power efficiency. As a key leader within our SoC team, you will be pivotal in shaping the company’s AI strategy and technological roadmap.Success at FlexAI requires an entrepreneurial spirit and startup mindset: the ability to rapidly iterate and make meaningful progress while staying focused on our mission to deliver more compute with less complexity. Your proven expertise in cultivating influence, aligning diverse stakeholders, and driving efficient operations–while fostering a supportive environment through mentorship and thoughtful leadership of a growing team–will be critical to your success.
What you'll do:Architectural Leadership:Lead the design of AI-specific SoC architectures, ensuring optimal integration of AI accelerators, CPUs, memory subsystems, and interconnects.
Set technical direction and strategy for AI SoC development, aligning with business goals and market demands.
Ensure architectural designs are scalable, high-performing, and energy-efficient to meet the needs of AI-driven applications.
Team Leadership:Manage and mentor a team of SoC architects, guiding their technical development and fostering a collaborative working environment where innovation thrives.
Provide technical leadership across cross-functional teams –including hardware, software, verification, and system integration–to drive projects toward collective success.
Lead design reviews, providing critical feedback to ensure the quality and robustness of the architecture.
AI Accelerator and System Integration:Define and optimize AI acceleration blocks (e.g., NPUs, tensor cores, etc.) within the SoC architecture to maximize performance on AI/ML workloads.
Ensure seamless integration of hardware and software, working closely with AI and machine learning algorithm teams to optimize the end-to-end performance.
Performance and Power Optimization:Analyze system-level performance and power consumption for AI workloads, identifying bottlenecks and proposing architectural improvements.
Lead power management strategies, including dynamic voltage and frequency scaling (DVFS) and low-power design techniques.
Memory and Dataflow Architecture:Architect efficient memory hierarchies (e.g., SRAM, DRAM, caches) and interconnects to support high-throughput AI computations.
Optimize data movement and flow within the SoC to minimize latency and maximize data reuse.
Technology and Roadmap Planning:Drive the technical roadmap for AI SoCs, evaluate emerging technologies, anticipate industry trends, and analyze competitor solutions to position us at the forefront of the AI hardware landscape.
Influence long-term strategy decisions, such as process technology selection, IP licensing, and partnerships for future SoC developments.
Cross-Functional Collaboration:Work closely with product management and other stakeholders to define requirements and translate them into architectural solutions.
Collaborate with verification and validation teams to ensure architectural correctness, functionality, and performance.
What you’ll need to be successful:Master’s or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
12+ years of experience in SoC architecture design, with a significant focus on AI/ML workloads.
Proven track record of leading architectural design and development for complex SoCs, with successful product launches.
Extensive experience with AI hardware accelerators, deep learning algorithms, and AI hardware-software co-design.
Deep understanding of AI hardware, including NPUs, tensor cores, matrix multipliers, and other AI accelerators.
Strong expertise in CPU/GPU design, memory hierarchies, and interconnects, as well as power optimization techniques.
Proficiency in performance modeling, analysis, and hardware description languages (e.g., Verilog, VHDL).
Proven leadership experience in managing and mentoring engineering teams.
Strong decision-making abilities and a strategic mindset to influence company-wide AI SoC design.
Excellent communication skills for working across technical and non-technical teams.
Preferred SkillsExperience with AI/ML software frameworks (e.g., TensorFlow, PyTorch, ONNX).
Familiarity with chip design EDA tools and the chip fabrication process.
Experience in developing SoCs for edge AI, automotive, or other specialized AI markets.What we offer:A competitive salary and benefits package, tailored to recognize your dedication and contributions.The opportunity to collaborate with leading experts in AI and cloud computing, learning from the best and the brightest, fostering continuous growth.An environment that values innovation, collaboration, and mutual respect.Support for personal and professional development, empowering you with the tools and resources to elevate your skills and leave a lasting impact.A pivotal role in the AI revolution, shaping the technologies that power the innovations of tomorrow.About FlexAIFounded by
Brijesh Tripathi
and
Dali Kilani , who bring experience from Nvidia, Apple, Tesla, Intel, Lifen, and Zoox, FlexAI is not
just
building a product – we’re shaping the future of AI. Our teams are strategically distributed across Paris, Silicon Valley, and Bangalore, united by a shared mission: to deliver more compute with less complexity.
Apply NowDoes this opportunity align with your aspirations? If you’re even slightly curious, we encourage you to apply – it could be the start of something extraordinary!
At FlexAI, we believe diverse teams are the most innovative teams. We’re committed to creating an inclusive environment where everyone feels valued, and we proudly offer equal opportunities regardless of gender, sexual orientation, origin, disabilities, veteran status, or any other facets of your identity that make you uniquely
you .
#J-18808-Ljbffr