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  • K2 Space

    Photonic IC Design Engineer, Design Automation & Modeling

    K2 Space · 🇺🇸 Seattle, WA · posted 15 days ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    On-site
    Funding
    Series D, >$1B total funding
    Eng team
    Founding photonics team member
    Stack
    photonics, semiconductor design, EDA

    TL;DR

    Own K2's photonic design automation flow including inverse design, parametric layout generation, and AI-guided tools across multiple integrated photonics foundries. Build component libraries, fabrication-aware models, and design-for-test infrastructure while owning device blocks through tapeout and lab characterization.

    About K2 Space →

    The full posting

    K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price — and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space.

    The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits.

    With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger — helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply.

    The Role

    K2's ambitions extend beyond the satellite bus. By designing and operating our own spacecraft and regularly manifesting hardware to orbit, K2 is uniquely positioned to develop, test, and deploy ambitious, “limit-of-physics” optical and photonic payloads across MEO, GEO, cislunar, and deep space on unprecedented timelines. The satellite bus is the platform – the payloads are the mission.

    As a Photonic IC Design Engineer focused on design automation and modeling, you will own the team's photonic design flow: the software that takes a requirement to a fabrication-ready, DRC-clean design whose measured performance matches simulation. Inverse design and AI-guided design are core parts of that flow, alongside parametric layout generation, fabrication-aware models, and automated verification. You will build the tools, the component library, and the models the whole team designs with (and that our tunable circuits are calibrated and controlled with in operation), and work closely with the test and automation team so every design is built for test and every measurement flows back into the models. You will also own real device blocks on the team's product tapeouts and take them from design through lab measurement, so the flow is proven on parts that ship. As a founding member of the photonics team, you will help set the tools and design practices the team grows on.

    Responsibilities

  • Own the team's photonic design automation flow: parametric layout generation, simulation orchestration, design-space exploration, and automated DRC/LVS and sign-off across multiple integrated photonics foundry platforms (e.g., silicon, silicon nitride, III-V).
  • Build and maintain fabrication-aware inverse design (topology optimization in JAX or PyTorch, with lithography models and robustness to process variation) as a core engine of the flow.
  • Bring agentic and AI-guided tools into the design loop for design-space exploration, layout generation, optimization, and data analysis.
  • Own device and circuit blocks on product PICs from specification through tapeout and characterization, on the team's tapeout schedule (e.g., polarization handling, low-loss routing, mode converters, vertical couplers for 3D integration, and wideband devices).
  • Partner with the photonics test and automation team on characterization: build design-for-test into the flow (test structures, probe- and fiber-array-compatible layouts), define measurement plans and metrics, and connect the flow to the shared test data pipeline.
  • Characterize your devices in the lab and on the test team's automated stations (insertion loss, extinction, bandwidth, high-speed electro-optic response), treat simulation-to-measurement error as your key metric, and turn the data into model calibrations, design rules, and flow updates.
  • Maintain pcells and compact models for the team's component library, with regression tests so flow and PDK changes don't break existing designs.
  • Extend those models into calibration and control for tunable PICs (thermal tuning, resonator locking, modulator bias): derive the control and calibration algorithms from the same models used in design, and use test-station calibration data to update both.
  • Develop behavioral and physical models of photonic circuits, links, lasers, and gain media, and support system co-design with K2's electronics and ASIC teams.
  • Make the flow usable by the whole team through documentation, reviews, and mentoring.
  • Qualifications

    • PhD or MS in electrical engineering, optics, physics, computer science, or a related field, or a Bachelor's degree with equivalent experience.
    • Built inverse design or other computational design tools that produced fabricated, measured devices on commercial integrated photonics foundry platforms.
    • Strong software engineering: Python, autodiff frameworks, version control, and maintainable shared code.
    • Electromagnetic simulation (FDTD, FEM, or RCWA) and hands-on lab characterization correlated to simulation.

    Nice to Have

    • Machine learning or agentic AI applied to engineering design.
    • Control systems, calibration, or system identification for tunable photonic circuits.
    • Photonic layout and PDK tooling (e.g., gdsfactory, KLayout, Cadence).
    • Laser or VCSEL design and modeling.
    • 3D heterogeneous integration or co-packaged optics.
    • Contributions to open-source electromagnetic or design tools (e.g., Meep).

    Compensation and Benefits:

    • Base salary range for this role is $130,000 - $200,000 + equity in the company
    • Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
    • Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks

    If you don’t meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged!

    If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

    Export Compliance

    As defined in the ITAR, “U.S. Persons” include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a “U.S. Person.”

    The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a “U.S. person” as defined by 22 C.F.R. § 120.15 or otherwise eligible for a federally issued export control license.

    Equal Opportunity

    K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.