Summary
Evollabs Tech is hiring an RTL Design Engineer for its Dubai office to lead ASIC subsystem design from specifications and architecture through integration, verification, and post-silicon validation. The role includes writing production-quality RTL, driving timing closure, supporting DFT and test bring-up, and developing automation and technical documentation. Applicants should have at least seven years of RTL and ASIC development experience, strong Verilog or SystemVerilog skills, and experience integrating complex IP and working across multiple clock domains. Experience with UVM or formal verification, high-speed interfaces, and AI accelerator architectures is relevant to the role.
The posting
As published on evollabs.tech. Pulled from the employer's site and shown as they wrote it.
Your Mission
Own the end-to-end design of critical ASIC subsystems—from PLLs and compute clusters to interconnects and multi-die orchestration. The RTL you build becomes production silicon and moves real AI workloads faster. This is where microseconds, watts, and millimeters directly impact AI economics at scale.
Responsibilities
Own complex ASIC subsystems end-to-end: specification, architectural exploration, IP evaluation/selection, integration, verification planning, and post-silicon validation
Make architecture/micro-architecture trade-offs across features, performance, power, and area; define clean interfaces and write production-quality RTL (Verilog/SystemVerilog).
Implement and verify at block and subsystem levels (UVM/formal where appropriate); set coverage goals and drive sign-off.
Develop constraints and close timing: author SDC, run STA (setup/hold, OCV/derates), perform CDC/RDC analysis, and collaborate with PD on floorplanning and CTS.
Simulate and emulate (FPGA/emulator), debug waveforms/logs, and correlate pre-/post-silicon behavior.
Define and implement DFT/DFD (scan, MBIST/LBIST, boundary scan/JTAG); support ATPG and test bring-up.
Maintain code quality with lint, CDC/RDC, LEC, and synthesis-friendly design practices; drive ECOs as needed.
Build timing/debug automation: create Tcl/PrimeTime scripts for skew analysis, clock dividers/special clocks, and core-to-IO interfaces (PCIe, 400GE, UCIe).
Document clearly: specifications, micro-architecture, interfaces, and user guides for downstream teams.
You'll Collaborate With
Our silicon architects designing the next breakthrough in AI compute, verification engineers, Linux driver and firmware engineers building the software stack, security teams protecting customer assets, compiler and ML framework teams optimizing workload mapping, and system validation engineers ensuring enterprise reliability — together, we're building the infrastructure that makes AI accessible and powerful.
Minimum Qualifications
7+ years of experience in RTL design and ASIC development (verilog/systemverilog is preferred)
Hands-on experience in all aspects of the chip development process with proficiency in front end tools and methodologies
Experience with configuration and integration of a complex IPs is a must (at least one of the following: multi-core CPUs, NOCs, custom accelerators aka GPU/NPU or high-speed interfaces like PCIe, 100/400G Ethernet, UCIe)
Experience writing specifications and converting them into design
Experience with multiple clock domains and asynchronous interfaces
Familiarity with common on-chip bus protocols such as AMBA (AXI, AHB, APB)
Preferred (Nice-to-Haves)
Experience with power and clock management designs
Formal Equivalency Checking RTL to Netlist
Experience with DFT
Understanding of AI accelerator architectures (systolic arrays, dataflow, tiling) and memory bandwidth optimization
Experience with HBM/GDDR integration or other high-bandwidth memory subsystems
What Success Really Means
First silicon boots and runs real AI workloads (not just benchmarks)
PPA targets met: performance/watt competitive with industry leaders
Compiler team can generate efficient code without hardware workarounds
Mean time to debug customer issues: <24 hours
Ready to accelerate the future of AI?
Submit your application with links to relevant projects, papers, or recommendations. Show us how you think systematically about RTL design and what you've built that scales.
Join us in our mission to democratize AI compute — where your RTL expertise becomes the bedrock of tomorrow's AI breakthroughs.