Nokia Logo

Nokia

Coherent Systems Architect - Mixed Signal AFE development

Reposted 21 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
Expert/Leader
In-Office or Remote
Hiring Remotely in United States
Expert/Leader
Lead silicon bring-up, validation, and production testing for analog front-end (AFE) development, characterizing high-speed DACs, ADCs, and RF interface. Requires collaboration with cross-functional teams and automated measurement systems using Python.
The summary above was generated by AI

We are seeking a hands-on Coherent RF Architect to lead silicon bring-up, validation, and production test development for a mixed-signal Analog Front-End (AFE) featuring high-speed DACs, ADCs, PLL/clocking , and the RF electrical interface to the Transmitter and Receiver Optical Sub‑Assembly (TROSA) used in the optical coherent pluggable. The role owns end-to-end AFE characterization, from bench measurement and automation through correlation to simulation test coverage. 


NION2026
 

Responsibilities
  • Key Responsibilities 

  • Silicon Bring-up & Debug

  • Own first-silicon bring-up for DAC/ADC/PLL blocks: power-up sequencing, register access, clock tree bring-up, and initial functional validation.

  • Debug mixed-signal issues across domains (clocking, analog biasing, digital control, interfaces, and test modes).

  • Create debug playbooks and “known-good” procedures to accelerate lab triage and cross-team communication.

  • Full AFE Characterization (Bench + Automation)

  • DAC: SFDR, IMD, THD, SNR, ENOB, spurs vs. output amplitude, output frequency, sampling frequency, temperature, supply, and code format; static linearity where applicable.

  • ADC: SNR, ENOB, SFDR, interleaving mismatch (offset/gain/timing), harmonic/spurious behavior, clock sensitivity.

  • PLL/Clocking: phase noise, integrated jitter, spur analysis, jitter transfer/tolerance where relevant to the system.

  • AFE-level metrics: frequency response, passband ripple, impedance/termination impact, crosstalk, noise coupling, and sensitivity to board/connector effects.

  • Design experiments for PVT sweeps and margin analysis; develop guard-banding strategies aligned to production realities.

  • RF characterization of TROSA

  • Characterize RF electrical behavior of the Transmitter and Receiver Optical Sub‑Assembly, including bandwidth, frequency response, impedance matching, insertion and return loss, Gain, noise figure (where applicable), and linearity.

  • Work closely with photonics, SiGe IC, and module teams to correlate electrical AFE performance to optical metrics.

  • Support electro‑optical (E/O) and opto‑electrical (O/E) RF validation for coherent transmit and receive chains.

  • Measurement Infrastructure & Data Analytics

  • Build and maintain automated measurement systems using Python and standard instrument control (SCPI/PyVISA).

  • Use robust data practices: versioned test scripts, metadata capture, calibration traceability, and reproducible analysis notebooks.

  • Create dashboards/reports summarizing performance trends, correlations, and anomalies.

  • Cross-Functional Collaboration & Requirements

  • Work with design teams to define: test hooks, observability, calibration registers, and design-for-test requirements for analog blocks.

  • Define measurable acceptance criteria aligned to coherent system requirements.

  • Collaborate closely with Analog/RF design, SiGe IC teams, DSP, Signal Integrity (SI), photonics, module, and manufacturing teams.

Qualifications

Required Qualifications 

  • Ph.D. in Electrical Engineering or Applied Physics with experience in mixed-signal silicon test/validation/characterization, high-speed electronics or systems.

  • Strong fundamentals in high speed electronics and practical experience with test equipment such as high bandwidth oscilloscopes, phase noise analyzer, spectrum analyzer, VNA.

  • Experience characterizing high-speed RF and mm-wave interconnects, amplifiers, and components

  • Solid automation skills in Python including data pipelines and plotting.

  • Ability to read schematics, understand board-level effects, and debug signal integrity/power integrity interactions.

  • Comfortable in a fast-moving lab environment: hands-on probing, rework coordination, fixture bring-up

Preferred Qualifications 

  • Experience with optical coherent systems and coherent transceiver architectures.

  • Experience with MZ modulator drivers (MZMD) and TIAs in coherent links.

  • Experience with high‑speed data converters, interleaved ADCs, and calibration techniques.

Similar Jobs

3 Hours Ago
Remote or Hybrid
57K-65K Annually
Mid level
57K-65K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Manage and improve SCRA processes including reporting, auditing, analytics, and compliance. Provide oversight, track/resolving process breakdowns, train new hires, collaborate cross-functionally, and perform occasional customer contact to ensure federal law adherence and minimize losses.
Top Skills: ChromeGoogle SuiteMS Office
3 Hours Ago
Remote or Hybrid
138K-158K Annually
Senior level
138K-158K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead strategic account growth and business development for key payments partners. Negotiate agreements, develop proposals and business cases, manage client portfolios, advise on acceptance and operational efficiencies, assess risk and compliance during negotiations, perform market analysis, and engage clients (approx. 25-30% travel) to increase network transaction volume.
3 Hours Ago
Remote or Hybrid
81K-92K Annually
Senior level
81K-92K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead and coach a remote frontline team and suppliers to deliver high-quality customer experiences. Own performance management, operational metrics, compliance, and continuous improvement. Oversee and audit AI-generated recommendations, train associates on AI use, and use data to drive decisions and risk mitigation.
Top Skills: Chrome BrowserGenerative Ai Tools

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account