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Senior Principal Engineer (PE) / Subject Matter Expert (SME) – Quartus Timing Analysis & Optimization

Altera

San Jose, CA, US$266k – $392konsite

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About this role

Job Details:

Job Description: Altera is seeking a highly experienced Senior Principal Engineer / Subject Matter Expert (SME) to drive the architecture, development, and advancement of next-generation timing analysis, modeling, and optimization technologies within the Quartus FPGA Compiler .

This role will provide technical leadership across the Quartus compilation flow, with a particular emphasis on Static Timing Analysis (STA), timing closure, timing modeling, optimization algorithms, and scalable compiler infrastructure . The successful candidate will work closely with architecture, synthesis, fitting, routing, and timing teams to improve compiler quality of results (QoR), runtime, scalability, and signoff correlation for next-generation FPGA devices. The ideal candidate is recognized as an industry expert in timing analysis and optimization with deep experience building high-performance EDA engines and solving complex timing convergence challenges across large-scale digital designs.

Key Responsibilities

Quartus Timing Analysis & Optimization Leadership • Define and drive the technical roadmap for timing analysis, timing modeling, and timing optimization within the Quartus FPGA Compiler.

• Lead the design and implementation of advanced timing engines supporting FPGA compilation, placement, routing, and timing closure.

• Develop methodologies to improve timing convergence across the Quartus RTL-to-bitstream flow.

• Partner with architecture and compiler teams to enable best-in-class timing QoR and signoff correlation.

Static Timing Analysis (STA) • Architect and develop next-generation STA capabilities, including graph-based and path-based timing analysis.

• Advance support for complex timing scenarios, including: • Multi-corner, multi-mode (MCMM) analysis

• Timing exception handling

• Clock domain crossing analysis

• Variation-aware timing methodologies

• Incremental timing analysis

• Improve timing accuracy while maintaining industry-leading scalability and runtime performance.

Timing Modeling & Signoff Correlation • Develop timing modeling methodologies that accurately correlate Quartus results with silicon behavior and signoff requirements.

• Drive innovations in delay modeling, clock modeling, timing abstraction, and hierarchical timing analysis.

• Partner with FPGA architecture teams to ensure accurate representation of device resources and timing characteristics.

Compiler Algorithms & Infrastructure • Design scalable data structures and algorithms for timing analysis and optimization.

• Improve compiler performance through parallelization, multi-threading, and incremental processing techniques.

• Drive architectural improvements that enable efficient handling of large, complex FPGA designs.

Cross-Functional Technical Leadership • Provide technical mentorship and thought leadership across engineering teams.

• Collaborate with synthesis, placement, routing, architecture, verification, and software engineering organizations.

• Influence future FPGA compiler capabilities through technical strategy, innovation, and long-term planning.

The pay range below is for Bay Area California only. Actual salary may vary based on   a number of   factors including job location, job-related knowledge, skills, experiences,   trainings , etc. We also offer incentive opportunities that reward employees based on individual and company performance.   

$ 266.2K   - $ 392.2K   USD  

We use artificial intelligence to screen, assess, or select applicants for the position.   Applicants must be eligible for any required U.S. export authorizations .

Qualifications: Required Qualifications • MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field.  

• 15+ years of experience in EDA software development, timing analysis, physical design, FPGA compilation, or related domains.  

• Deep expertise in: • Static Timing Analysis (STA)

• Timing closure methodologies

• Timing modeling and correlation

• Physical design optimization

• RTL-to-GDS or RTL-to-bitstream design flows

• Multi-corner multi-mode (MCMM) analysis  

• Strong understanding of: • Placement and routing algorithms

• Clock analysis and optimization

• Path-Based Analysis (PBA)

• Constraint management and timing exceptions

• Incremental timing architectures  

• Extensive software development experience in C++ and large-scale optimization systems.  

• Proven track record developing high-performance, highly scalable EDA engines.

Preferred Qualifications • Direct experience developing FPGA compilation tools.  

• Prior experience with the Quartus compiler, Timing Analyzer, Fitter, Routing, or related FPGA implementation technologies.  

• Expertise in one or more of the following: • Path-based timing optimization

• Clock-Reconvergence Pessimism Removal (CRPR)

• Latch-based timing analysis

• Incremental optimization frameworks

• Timing-driven placement and routing

• Variation-aware analysis techniques  

• Experience designing multi-threaded or distributed EDA infrastructure.  

• Industry-recognized technical leadership demonstrated through patents, publications, standards contributions, or major product innovations.

What You'll Bring • Recognized subject matter expertise in timing analysis and optimization.  

• Ability to drive complex technical initiatives from concept to production.  

• Strong systems-thinking approach to compiler architecture and optimization.  

• Passion for solving challenging timing closure and scalability problems.  

• Proven ability to influence engineering direction across multiple organizations.

Impact In this role, you will play a critical leadership position in shaping the future of the Quartus FPGA Compiler , driving innovations in timing analysis, modeling, optimization, and timing closure technologies that help customers achieve faster compilation, improved QoR, and more predictable design convergence on next-generation FPGA platform

Salary insight

The midpoint of this range ($329k) is about 65% above the median disclosed salary for San Francisco roles listed on ForgeApply ($200k across 7,499 jobs).

Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.

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