The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
• Design and implement creative and performant visualizations to assist in diagnosing issues or uncovering optimization opportunities in AI/ML inference and serving.
• Collaborate closely with hardware architects and compiler engineers to define, design, and implement effective visualization solutions enhancing their workflow.
• Develop high-performance visualization workflows by integrating independent graphics modules with micro-services to handle asset optimization, ensuring a non-blocking experience on the client.
• Continuously seek improvements to existing tools and develop new approaches to meet fast-evolving requirements.
• Stay up-to-date with the latest advancements in web development and visualization techniques.
• Contribute to the development of the documentation and user guides.
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• An innate drive to clarify deep technical complexity, balancing creative visualization with engineering rigor to build analytical tools that make interdependent hardware and software models intuitive without sacrificing logical precision.
• Strong experience in full-stack visual analytics software development, with a focus on building scientific or infrastructure visualization tools. Experience in AI model visualization integrated with PyTorch is a plus.

• Strong proficiency in modern frontend technologies like React and backend technologies like Node.js or Python-based frameworks. Experience in graph-based UI is a plus.
• Proven experience in WebGL/WebGPU based frameworks such as three.js or deck.gl. GLSL experience is a plus. Experience in WebAssembly with C++ is a plus.
• Excellent problem-solving skills and ability to think critically and creatively.

• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• 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-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, Performance Architecture.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Model the architecture, performance, and power characteristics of Memory Centric Computing platforms
• Develop and optimize models to explore a large design space.
• Analyze various trade-offs within a design space, considering different architectural choices and workloads.
• Collaborate with architecture, design and software engineers to ensure that the PPA of modeled systems meet the requirements of our users
• Conduct research and development in emerging technologies and trends in AI/ML workloads and Memory Centric Computing architectures
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget

What You Bring

• BS in Computer/Electrical Engineering or Computer Science with 5+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred.
• Strong background in computer architecture
• Experiences in developing and optimizing models for high-performance computing systems
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• 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-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, RTL Memory Centric Computing.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
• Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
• Collaborate with Verification engineers to design and develop test plans
• Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
• Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
• Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• Strong background in microarchitecture and computer architecture
• 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
• Experience in designing Memory Controller, NOC, Interconnect IP
• Experience in Memory Centric computing IP and  SOC integration
• Experience in AI/ML workloads.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• 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-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Our team works hands-on with cutting-edge accelerator hardware, experimental memory systems, and emerging domain-specific languages (DSLs). We build and optimize a Triton-based software stack that pushes the limits of performance, efficiency, and scalability for modern LLM workloads.

We are looking for a Senior AI Systems Engineer with deep experience in high performance Triton kernel development on modern accelerators. In this role, you will design, analyze, and optimize performance-critical kernels used in large scale LLM inference and training pipelines. You will work closely with hardware architects, compiler engineers, and ML researchers to identify performance bottlenecks, interpret profiling data, and co-design solutions that span software and hardware boundaries.

This role is ideal for engineers who enjoy working close to the hardware stack while still reasoning deeply about model level abstractions.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Design, implement, and optimize high-performance Triton kernels for LLM workloads on existing accelerators.
• Analyze kernel performance using profiling tools; interpret metrics such as latency, throughput, occupancy, memory bandwidth, and compute utilization.
• Identify performance bottlenecks in kernel design (e.g., memory access patterns, synchronization, tiling strategies) and propose concrete optimizations.
• Work across the stack; from model architecture to kernel implementation—to ensure end-to-end performance efficiency.
• Collaborate with hardware and compiler teams on hardware–software co-design, providing feedback that influences future accelerator and DSL designs.
• Prototype and evaluate kernel optimizations using upcoming DSLs and experimental compiler flows.
• Contribute to the evolution of a Triton-based software stack used for cutting-edge research and production-grade experimentation.
• Document design decisions, performance trade-offs, and optimization strategies clearly for internal and external stakeholders.

What You Bring

• Bachelor’s with 5+ years, or Master’s with 3+ years, or PhD's with 0+ years of industry experience.
• Strong experience writing high-performance Triton kernels for GPUs or other accelerators.
• Solid understanding of LLM fundamentals, including attention mechanisms, transformer architectures, and inference/training workflows.
• Deep knowledge of accelerator hardware architecture, including:  Memory hierarchies (HBM, SRAM, caches).
• Proven ability to read and interpret profiling data and performance counters.
• Experience diagnosing and resolving performance bottlenecks in kernel-level code.
• Strong systems programming skills in Python and low-level performance-oriented programming paradigms.
• Experience with hardware–software co-design or compiler-assisted optimization.
• Familiarity with FlashAttention, fused kernels, MoE kernels, and different attention mechanisms.
• Experience working with emerging or experimental domain-specific languages (DSLs) for accelerator programming.
• Background in ML systems, compilers, or performance engineering.
• Prior experience working with different accelerator backends (including but not limited to CUDA).
• Opportunity to work on cutting-edge accelerator hardware and experimental software stacks.
• Direct impact on the performance and design of next-generation AI systems.
• A highly collaborative environment spanning hardware, systems, and ML research.
• Flexibility to publish, prototype, and influence future hardware and software directions.
• Ability to work effectively in cross-functional, research-oriented environments.
• Strong analytical and problem-solving skills.
• 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-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, RTL Memory Centric Computing.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
• Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
• Collaborate with Verification engineers to design and develop test plans
• Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
• Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
• Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience.
• Strong background in microarchitecture and computer architecture
• 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
• Experience in designing Memory Controller, NOC, Interconnect IP
• Experience in Memory Centric computing IP and  SOC integration
• Experience in AI/ML workloads.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• 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-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages.
• Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
• Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics.
• Provide comprehensive documentation of verification strategy and ensure test environment is easy to use.
• Mentor junior engineers when necessary
• Work cross-functionally in debugging failures with design, compiler and simulation engineers

What You Bring

• Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience.
• Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python.
• Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing
• Understanding RTL and strong overall debugging skills
• Prior experience with computational logic, interconnect networks and/or memory system is desirable
• Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators
• Knowledge of FPGA and emulation platforms preferred
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• 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.

#LI-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages.
• Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
• Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics.
• Provide comprehensive documentation of verification strategy and ensure test environment is easy to use.
• Mentor junior engineers when necessary
• Work cross-functionally in debugging failures with design, compiler and simulation engineers

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python.
• Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing
• Understanding RTL and strong overall debugging skills
• Prior experience with computational logic, interconnect networks and/or memory system is desirable
• Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators
• Knowledge of FPGA and emulation platforms preferred
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• 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.

#LI-VL1