Senior Design Verification Engineer
AI Summary
Verifies complex digital systems and SoC blocks, building verification environments and collaborating with architects and engineers to ensure correctness, performance, and safety.
About this role
Role Overview
Responsibilities
● Develop and execute verification strategies for key portions of the Velaura SoC.
● Build verification environments using SystemVerilog, UVM, C/C++, assertions, formal verification, emulation, and related methodologies.
● Collaborate with architects and RTL engineers to define verification plans, coverage goals, and correctness criteria.
● Verify compute engines, memory subsystems, interconnect fabrics, control processors, DMA engines, and other critical SoC infrastructure.
● Perform HW/SW co-verification involving firmware, drivers, runtime software, and operating system interactions.
● Verify performance, latency, bandwidth, QoS, and real-time system behavior under representative workloads.
● Develop assertions, checkers, scoreboards, and automated verification infrastructure.
● Participate in emulation, FPGA prototyping, and pre-silicon software bring-up activities.
● Drive bug investigation, root-cause analysis, and debug across hardware and software boundaries.
● Post-silicon debug and root cause analysis.
● Leverage modern engineering tools, including AI-assisted verification workflows, to improve productivity, quality, and coverage.
● Contribute to a culture of technical excellence and continuous improvement.
Required Qualifications
● 10+ Years of experience verifying complex digital systems.
● Strong understanding of CDC issues, clocking and reset verification.
● Experience with SystemVerilog, UVM, C/C++, assertions, coverage-driven verification, and related methodologies.
● Experience with emulation, FPGA prototyping, or pre-silicon validation environments.
● Understanding of memory systems, interconnect fabrics, caches, DMA engines, processors, or accelerator architectures.
● Experience debugging complex system-level issues.
● Ability to work effectively in a collaborative, multidisciplinary engineering environment.
Preferred Qualifications
● Familiarity with robotics, drones, autonomous vehicles, or industrial automation systems.
● Experience verifying QoS, latency-sensitive, or real-time systems.
● Experience with HW/SW co-verification and system-level validation.
● Exposure to performance modeling, profiling, and workload characterization.
● Experience using modern AI tools and workflows to accelerate engineering productivity.
● Background in CPUs, GPUs, AI accelerators, networking and communications silicon, storage and data movement architectures, robotics and autonomous systems, automotive and ADAS platforms, aerospace and defense systems,
real-time and safety-critical computing, or functional safety architectures and methodologies.
Skills
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