• Define, communicate, and drive the technical vision and strategy for the Enterprise Fulfillment team. • Own the engineering roadmap and enable high-quality execution of key business outcomes. • Establish and champion best practices for production services. • Lead, coach, and grow a team of 10+ engineers. • Drive recruiting and hiring efforts.

• Lead Shopper Activation & Engagement end-to-end • Drive multi-quarter roadmap planning and sequencing • Partner deeply across cross-functional stakeholders • Develop and retain engineering talent across a team of 10–12 engineers • Set the technical direction for the team

Role Description We are seeking a highly motivated R&D Intern (FPGA) to join our innovative team developing cutting-edge AI Infrastructure Testing solutions. This role is strongly focused on FPGA development, with most responsibilities centered on the design, implementation, and verification of next-generation FPGA-based architectures. In this role, you will work closely with experienced engineers across hardware, software, and system domains, with a primary emphasis on developing and validating advanced FPGA development methodologies for leading-edge applications. You will be involved in all phases of the product development lifecycle from architecture definition and RTL design to verification, hardware bring-up, and product release. If you are passionate about FPGA based designs, eager to grow into a highly skilled FPGA expert, and excited to work on state-of-the-art technologies in a collaborative and fast-paced environment, we invite you to join our team. You will collaborate with global R&D teams in India, Romania, and the US and contribute to world-class solutions at the forefront of technology innovation. Qualifications - Required - Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field - Solid understanding of digital design fundamentals (logic design, state machines, timing concepts) - Experience with FPGA development flows (RTL design, simulation, synthesis, and debug) - Exposure to hardware description languages (VHDL or Verilog) - Strong analytical and problem-solving skills - Ability to work both independently and as part of a cross-functional team - Strong communication skills (written and verbal) - Preferred - Academic or internship experience with FPGA design projects - Basic knowledge of high-speed digital systems or communication interfaces (e.g., PCIe, Ethernet, SerDes) - Familiarity with simulation and verification tools and methodologies - Exposure to lab measurements and debugging on real hardware - Interest in test and measurement applications Requirements - Contribute to the design and development of FPGA-based solutions for AI Infrastructure Testing systems - Implement and verify digital designs using modern FPGA technologies (e.g., high-speed interfaces, memory subsystems) - Participate in architecture definition and translate system requirements into FPGA design specifications - Develop RTL code (e.g., VHDL/Verilog/SystemVerilog) and support simulation and verification activities - Support integration, bring-up, and debugging of FPGA designs on hardware platforms - Collaborate with hardware, software, and system engineers to ensure overall product performance and functionality - Participate in design reviews and contribute to continuous improvement of development processes - Document design work, results, and technical learnings Benefits - CA Pay Range: $32.77-$35.29 Company Description Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

• Partner with senior ICs and engineering leadership to define and execute the roadmap for ML training & serving, spanning model training, deployment workflows, GPU infrastructure, and low-latency model serving. • Lead, coach, and grow a team of platform engineers while staying closely engaged in technical decisions and execution. • Drive delivery and operational health for the team’s infrastructure, balancing reliability, developer experience, performance, and cost. • Evaluate and adopt modern ML infrastructure capabilities as Affirm’s needs evolve, including transformer-based workloads and GPU compute. • Collaborate with ML modeling, product, and infrastructure teams to ensure the platform supports Affirm’s highest-priority ML initiatives. • Recruit, develop, and retain high-performing platform engineers.