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Senior FPGA IP Solutions Engineer – Robotics Technology
Intel Corporation. Design, implement, and optimize high-performance soft IP in Verilog/SystemVerilog for robotics and industrial solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in RTL design and verification using Verilog/SystemVerilog for FPGA applications, with a strong focus on performance optimization, debugging, and integration within robotics systems. Proficient in utilizing industry-standard tools and methodologies for high-performance soft IP development and system validation.
Highest-signal resume keywords
RTL Design Using Verilog/SystemVerilogFPGA Design OptimizationQuartus Prime and Platform DesignerFPGA Debugging with SignalTapRobotics Software Stacks (ROS/ROS2)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
RTL Verification and SimulationFPGA Architecture AwarenessSensor Data Ingestion and FusionMathematical/DSP AlgorithmsStatic Timing Analysis (STA)Scripting (Tcl, Python, Perl)Low-Level HAL/Driver APIsResource Utilization OptimizationClock-Domain Crossing (CDC)Motor Control Techniques (FOC, PWM)
Soft Skills
Analytical SkillsProblem-Solving SkillsClear Written CommunicationVerbal Communication
Tools & Technologies
ModelSim/QuestaVCSPerforceGitHubJenkinsTeamCity
Industry Keywords
FPGAEmbedded SystemsRoboticsHigh-Performance Soft IPSystem Integration
Tech Stack
Tools & technologiesJenkinsPerlPython
About the role
Key responsibilities & impact- Design, implement, and optimize high-performance soft IP in Verilog/SystemVerilog for robotics and industrial solutions
- Define and maintain low-level HAL/driver APIs exposing IP capabilities to embedded and host software
- Develop RTL for sensor ingestion, pre-processing, fusion, and mathematical/DSP algorithms mapped to FPGA fabric
- Apply FPGA architecture awareness to manage resource allocation, Fmax, and power/performance trade-offs
- Integrate IP into system designs using Quartus Prime and Platform Designer, including Avalon/AXI interconnects and streaming/memory-mapped fabrics
- Write and maintain testbenches; perform functional simulation and regression of IP and subsystems
- Drive static timing analysis, timing closure, clock-domain crossing correctness, and constraint quality
- Debug designs through simulation, SignalTap/on-chip debug, and lab bring-up
- Contribute to design examples, simulation models, and technical documentation for internal and customer use
- Work with Perforce, GitHub, Jenkins, and TeamCity engineering infrastructure
- Support continuous integration, regression flows, and release quality for IP and reference designs
- Collaborate with software, systems, and applications engineers on HW/SW co-design and platform integration, including robotics software stacks such as ROS2
- Support platform bring-up, validation, and resolution of customer or internal technical issues
Requirements
What you’ll need- Minimum 10+ years of experience with BSc / MSc (or equivalent) in Electrical/Electronic Engineering (EEE), Computer Engineering, Computer Science, or a related discipline
- Strong production experience in RTL design using Verilog and/or SystemVerilog targeting FPGAs
- Hands-on experience with RTL verification and simulation, such as ModelSim/Questa, VCS, or equivalent
- Proven ability to close timing and optimize resource utilization on real FPGA designs
- Working knowledge of Quartus Prime and Platform Designer, or equivalent FPGA toolchain and system integration flows
- Experience debugging FPGA designs using on-chip instrumentation, such as SignalTap Logic Analyzer, and hands-on bring-up and debug on development kits and physical boards
- Familiarity with Perforce and/or GitHub, and CI systems such as Jenkins and/or TeamCity
- Strong analytical, debug, and problem-solving skills, with clear written and verbal communication
- Experience developing high-performance, reusable FPGA soft IP
- Deep understanding of FPGA architecture, pipelining, CDC, constraints, and STA best practices
- Experience with sensor data ingestion, pre-processing, sensor fusion, and/or mapping mathematical algorithms into hardware
- Prior exposure to robotics systems and robotics software stacks, such as ROS/ROS2
- Experience with motor control topics such as FOC, PWM generation, encoders/resolvers, current/torque loops, or real-time motion control on FPGA
- Scripting experience with Tcl, Python, and/or Perl for automation of build, simulation, and timing flows
- Familiarity with Avalon and/or AXI protocols, low-level HAL/driver APIs, and HW/SW integration with embedded processors or accelerators