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Biotechnology, Artificial Intelligence, Healthcare Technology, Life Sciences

DSP Integration Test Engineer

Menlo Park, CAOnsiteFull TimePosted 8 days ago

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Required skills

  • DSP Integration Test Engineer
  • baseband modems
  • intra-DCI applications
  • system test team
  • bring-up
  • integration
  • hardware maturity
  • high-speed DSPs
  • DiAx cable technology
  • early prototypes

Nice to have

  • coherent optical modules
  • OIF 400ZR/800ZR
  • OIF CEI-224G
  • IEEE 802.3dj
  • forward error correction
  • RS/KP4

Role summary

AttoTude is seeking a DSP Integration Test Engineer to join their system test team. This role focuses on the bring-up, integration, and hardware maturity of high-speed DSPs with proprietary cable technology. Responsibilities include characterizing and optimizing DSP blocks, measuring DACs/ADCs, developing calibration methods, and analyzing link performance. The engineer will also develop Python-based lab automation and collaborate with design teams to optimize system performance for volume production. A Master's degree in Electrical Engineering or a related field and 5+ years of relevant experience are required, with a PhD preferred. Proficiency in Python, Matlab, and high-speed lab equipment is essential.

The Opportunity 

AttoTude's world-class engineering team works in a fast-paced, agile environment to develop next-generation baseband modems for intra-DCI applications. As a member of the system test team, the DSP Integration Test Engineer will own the bring-up, integration, and hardware maturity of high-speed DSPs coupled with AttoTude’s proprietary DiAx cable technology. The ideal candidate will be prepared to work with early prototypes, bringing up transmit and receive DSP functions on hardware and characterizing the combined performance of AttoTude’s 448Gbps/PAM4 AEC modules. A key component of this role is the ability to understand and make tradeoffs across DSP, analog, and RF subsystems to optimize overall system performance and carry it through to volume production. The candidate should anticipate frequent interactions with design engineers on signal processing and performance optimization. The role also includes designing, debugging, and optimizing firmware algorithms that maintain robust performance over varying link conditions.

Roles and Responsibilities 

The successful candidate will play a pivotal role in bringing AttoTude's next-generation communications platform from prototypes to volume production. Responsibilities include:

  • Hardware bring-up and maturation of high-speed DSP on prototype and production hardware, including transmit and receive data-path configuration, link optimization, troubleshooting and debug
  • Characterize and optimize Tx and Rx DSP blocks, including feed-forward and decision-feedback equalizers, MLSE, clock (timing) recovery, and assess their performance, complexity, and power tradeoffs
  • Measure high-speed DACs and ADCs (e.g., ENOB, SNDR, linearity, interleaving spurs, bandwidth, jitter and phase noise) and quantify their impact on modem SNR and BER
  • Develop calibration methods and transfer them to automated manufacturing test
  • Develop and test DSP-based control loops, including adaptation convergence, loop stability, tracking, and robustness over process, voltage, and temperature
  • Analyze link performance (pre-FEC BER, SNR) and correlate measurements with system models
  • Develop Python-based lab automation for test, characterization, and data analysis
  • Drive performance validation and qualification, and transfer DSP configurations, calibrations, and test procedures to volume production

    • Through frequent interactions with DSP design, DiAx cable design, firmware/controls, and hardware teams, you will feed experimental results back into architecture, design and manufacturability decisions and help transition realized performance gains into the product.

    Required Qualifications, Skills, and Experience

  • MSEE minimum; PhD in Electrical Engineering or Applied Physics preferred, with specialization in high-speed electronic or electro-optic communication systems
  • At least 5 years of relevant industry experience with an MSEE, or at least 3 years with a PhD
  • Experimental work experience in the bring-up and hardware maturity of high-speed DSPs, either coherent (e.g., QPSK, 16QAM, 64QAM) or multi-level PAM (e.g., PAM4)
  • Foundational understanding of transmit and receive side DSP blocks, with emphasis on equalizers (e.g., FFE, DFE, MLSE) and their tradeoffs, and clock and carrier recovery
  • Prior hands-on experimental experience measuring high-speed DACs and ADCs
  • Experience developing calibration methods and transferring them to manufacturing test
  • Experience developing and/or testing DSP-based control loops
  • Performance validation and productization experience, including transfer to volume production
  • Proficiency with high-speed lab equipment such as real-time and sampling oscilloscopes, BERTs, arbitrary waveform generators, and spectrum and phase noise analyzers
  • Programming experience in Python and Matlab for lab automation, modeling, and data analysis; C/C++ a plus
  • Excellent written and oral communication skills, including the ability to communicate complex information clearly and concisely across multiple platforms and modalities
  • Resourceful collaborator, supporting teammates and colleagues as needed

    • Preferred Qualifications

  • Prior work experience with coherent optical modules or 224 Gbps/PAM4 AEC modules
  • Familiarity with related industry standards (e.g., OIF 400ZR/800ZR, OIF CEI-224G, IEEE 802.3dj)
  • Understanding of forward error correction (e.g., RS/KP4, soft-decision FEC) and its interaction with DSP performance
  • Experience characterizing RF and mm-wave components (e.g., S-parameters, nonlinear compression) and modeling linear and nonlinear signal impairments
  • Familiarity with module management and telemetry interfaces (e.g., CMIS) and firmware-based monitoring
  • Familiarity with RTL/Verilog or hardware-oriented algorithm implementation
  • Fluent with statistical analysis methods and software repositories (e.g., GitHub, GitLab, Bitbucket, Docker)
    • Ready to apply?
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