Senior Static Timing Analysis (STA) Methodology Engineer

Job Description

Job Description

Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place!

E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems.

We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life.

We are seeking a Senior STA Methodology Engineer to join our ASIC design team. In this role, you will own cross-functional timing methodology efforts across multiple IPs, projects, and technology nodes for our cutting-edge SoC designs targeting 5G, IoT, and LEO satellite communication applications. You will architect and maintain production STA flows, drive signoff closure, and introduce data-driven techniques to continuously improve PPA and team productivity.

WHAT YOU WILL BE DOING:

• Lead cross-functional efforts to solve complex timing challenges across multiple IPs, projects, and technology nodes

• Develop and enhance STA methodologies across the full RTL-to-GDS flow, including early timing estimation, feasibility checks, synthesis and place-and-route optimization, signoff criteria, and post-route ECO strategies

• Architect, optimize, and maintain production STA flows using industry-standard EDA tools, continuously improving PPA and runtime efficiency

• Drive signoff correlation and closure using PrimeTime and related tools (PT-SI, PTPX, PT-ECO)

• Debug timing constraints, resolve timing correlation issues, and develop effective timing closure strategies

• Explore and deploy data-driven and ML-assisted techniques to improve STA automation, predict and prioritize timing risk, and guide optimization across blocks and full-chip

• Design, implement, and maintain scalable CAD utilities and STA flow components that improve PPA, robustness, and team productivity

• Continuously refine workflows and introduce new technologies to ensure robust, PPA-optimized timing solutions across all product lines

• Provide timing closure guidance and mentorship to design and physical design engineers

WHAT YOU BRING TO THIS ROLE:

• BS or MS in Electrical or Computer Engineering, or equivalent industry experience

• 8+ years of industry experience in STA and timing methodology, focused on high-performance and low-power designs at advanced technology nodes

• Deep knowledge of STA tools and techniques, including noise, crosstalk, OCV, AOCV, POCV, and LVF analysis

• Fluency with PrimeTime and related signoff tools (PT-SI, PTPX, PT-ECO), with extensive hands-on experience driving signoff correlation and closure

• Strong expertise in debugging timing constraints and resolving timing correlation issues across complex SoC designs

• Experience with MMMC analysis, timing ECO flows, and late-stage timing closure techniques

• Proficiency in writing robust, production-quality scripts in Tcl, Python, and/or Perl for CAD utilities and flow components

• Solid knowledge of clock tree synthesis (CTS) and its interaction with timing analysis

• Excellent communication and collaboration skills for cross-functional, multi-project environments

BONUS POINTS:

• Experience with advanced process nodes (7nm, 5nm, or below)

• Familiarity with low-power design methodologies and their timing implications (DVFS, power gating)

• Exposure to interface protocol timing (DDR, PCIe, USB, SerDes)

• Experience applying ML or data-driven methods to EDA flow optimization

• Background in satellite communication, 5G, or IoT SoC design

Additional Requirements

This is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected.

This is a full time, exempt position, based out of our Santa Clara office.  The target base pay for this position is $120,000 - $220,000 annually.  The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. 

We are redefining how satellites are designed, manufactured and used—so we’re looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that’s your experience – then we’ll be immediately wow-ed.

E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role.

Why E-Space is right for you:

As a member of our team, you will play a crucial role in driving our success.  Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals.  In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry.  

We want you to make the most of your journey at E-Space. That’s why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space:

• An opportunity to really make a difference

• Sustainability at our core

• Fair and honest workplace

• Innovative thinking is encouraged

• Competitive salaries

• Continuous learning and development

• Health and wellness care options

• Financial solutions for the future

• Optional legal services (US only)

• Paid holidays

• Paid time off

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.