Lead RTL Designer (PPA Experience)
Hybrid (London or Bristol)$0Posted 1mo ago
About the role
Lead RTL Designer focused on datapath PPA optimization for AI/ML accelerator hardware, with full ownership from RTL to physical design collaboration. London or Bristol.
Responsibilities
- Track record of driving datapath PPA closure end-to-end: identifying bottlenecks, proposing RTL changes, and validating impact against targets
- Experience with low-power design techniques
- Experience writing timing-aware datapath RTL and iterating against synthesis/STA feedback to close timing on critical paths
- Familiarity with synthesis tools (e.g. Synopsys Design Compiler/Fusion Compiler, Cadence Genus) and datapath IP/generator libraries (e.g. DesignWare)
- Demonstrated, measurable PPA improvements delivered on production datapath or compute silicon
- Experience with formal verification or equivalence checking
- Physical design awareness sufficient to collaborate effectively with PD engineers on PPA closure
- Strong datapath microarchitecture background: pipelining, retiming, and parallelism-vs-area trade-offs for PPA
- Track record of driving datapath PPA closure end-to-end: identifying bottlenecks, proposing RTL changes, and validating impact against targets
- Good knowledge of fixed-point, floating-point, and/or quantized arithmetic design
- Deep understanding of PPA trade-off analysis, and the ability to translate PPA targets into concrete RTL and microarchitectural decisions
- Experience with AI/ML accelerator datapath or high-performance compute chip architectures (Nice to Have)
- Experience with static timing analysis tools (Nice to Have)
- Export controls awareness and compliance information per role description
Qualifications
- Strong datapath microarchitecture background: pipelining, retiming, and parallelism-vs-area trade-offs for PPA
- Track record of driving datapath PPA closure end-to-end: identifying bottlenecks, proposing RTL changes, and validating impact against targets
- Good knowledge of fixed-point, floating-point, and/or quantized arithmetic design
- Deep understanding of PPA trade-off analysis, and the ability to translate PPA targets into concrete RTL and microarchitectural decisions
- Experience with low-power design techniques
- Experience writing timing-aware datapath RTL and iterating against synthesis/STA feedback to close timing on critical paths
- Familiarity with synthesis tools (e.g. Synopsys Design Compiler/Fusion Compiler, Cadence Genus), and datapath IP/generator libraries (e.g. DesignWare)
- Demonstrated, measurable PPA improvements delivered on production datapath or compute silicon
- Experience with formal verification or equivalence checking
- Physical design awareness sufficient to collaborate effectively with PD engineers on PPA closure
Skills
Required:Datapath RTL designPPA analysis and optimizationSynthesis toolsFixed-point / Floating-point / Quantized arithmeticFormal verification / Equivalence checkingCollaboration with PD/Physical design
Nice to have:Low-power design techniques
Benefits
- Competitive salary
- Equity & Ownership
- Private Medical, Dental and Vision
- Contributory Pension
- 25 Days holiday plus bank holidays
- Life/Critical Illness Insurance
- Diverse & fun office environment
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Fractile
Radically Accelerate Frontier Model Inference
Fractile is designing AI compute systems that will enable the next generation of AI scaling: frontier model inference, 25x faster, at 1/10th the cost.
frontier model inferenceAI computecompute systemsAI scalinginference hardwareprocessor innovation
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