Flux Computing · 1 month ago
Senior / Staff Analog Design Engineer - High Speed SerDes
Flux Computing is seeking an experienced Analog/RF IC designer to architect and implement high-speed SerDes interfaces. The role involves designing and verifying complex SerDes cores and collaborating with cross-disciplinary teams to ensure robust operation across multiple channels.
Artificial Intelligence (AI)HardwareMachine LearningManufacturingOptical Communication
Responsibilities
Define, design and verify SerDes cores operating at >25Gb/s‑per‑lane, including TX FIR/DFE equalisation, CTLE/FFE receivers, decision‑feedback paths, and high‑linearity output drivers
Develop adaptive clock‑data‑recovery (CDR) loops and multi‑lane deskew / phase‑alignment schemes that achieve < 200 fs rms additive jitter and < 5 ps lane‑to‑lane skew
Model channel losses (PCB, package, fibre) and work with signal‑integrity engineers to co‑optimise link budgets, impedance control and return‑loss targets
Partner tightly with analog designers photonic, packaging, and digital micro‑architecture teams to integrate SerDes IP into large chiplets and optical transceiver modules
Mentor junior engineers, conduct rigorous design reviews, and establish best‑practice flows for high‑speed mixed‑signal design, verification and lab characterisation
Qualification
Required
7 + years of industry experience designing production high‑speed SerDes, multi‑GHz CDRs, or comparable mixed‑signal I/O macros in advanced CMOS nodes
Demonstrated success taping out > 56 Gb/s links meeting BER < 10‑12, stringent jitter masks and channel compliance specs
Deep understanding of link‑level signal‑integrity, phase noise, adaptive equalisation, clock multiplication and on‑chip calibration techniques
Mastery of state‑of‑the‑art EDA flows: behavioral modeling (Verilog‑A/AMS, IBIS‑AMI), transient / S‑parameter simulation, EM extraction, and mixed‑signal verification
Strong measurement skills: high‑speed probing, BERT eye‑diagramming, de‑embedding, PRBS and compliance testing
Bachelor's degree in Electrical Engineering or related field (Master's / PhD preferred)
Excellent cross‑disciplinary communication, problem‑solving aptitude, and a proven ability to deliver in fast‑moving, innovation‑driven environments
A portfolio of patents, publications or open‑source contributions that highlights creative SerDes or high‑speed analog design insight
Preferred
Master's / PhD in Electrical Engineering or related field
Benefits
Competitive stock options, you’re not just part of the journey, you will own a piece of it.
Live within 45 minutes of the office? Perfect. Live within 20 minutes? We’ll add an extra location bonus to your salary.
We offer financial and operational relocation support (US and abroad), through a dedicated third-party provider who is on hand to make your move as seamless as possible.
We offer visa sponsorship so if we make you an offer we will make every reasonable effort to secure you a visa, but we may not be able to sponsor visas for every role and candidate.
We’re in the process of setting up a US group policy once we have 5+ employees. In the meantime, we’re providing a health insurance stipend of $800/month to offset costs. Once the group policy is live, Flux will cover 100% of the employee premium, and offer options like dental, vision and life insurance with an aim to remain competitive among Austin tech and start up employers.
We offer US employees access to a 401(k) retirement savings plan and we plan to introduce an employer match in line with tech market norms (commonly in the 4-5% range). Our goal is to keep our retirement benefits competitive while we scale.
Top of the line, high-spec tech for everyone.
Sony noise-cancelling headphones and ergonomic setups to keep you comfortable and focused.
Personal company card to spend on tools that help you do your job - like ChatGPT Pro or anything else that boosts your workflow.
Periodic travel to London HQ and regular team socials.
33 days of paid time off (PTO), including US federal holidays.
Company
Flux Computing
Flux Computing designs optical AI accelerators that use light-based processors for training and inference on large models.
Funding
Current Stage
Growth StageCompany data provided by crunchbase