## Grow with us
- Silicon CI/CD Engineer
- Austin, Texas/ This is not a remote work opportunity.
Shape how every silicon design change moves from commit to tapeout. Combine deep CI/CD architecture expertise with silicon flow knowledge and practical AI to build fast, reproducible pipelines spanning front-end and back-end design. Work on ASIC and FPGA programs for Ericsson’s 5G and 6G portfolio at advanced nodes, including Intel 18A and TSMC 3/2nm. Drive measurable gains in feedback time, regression throughput, compute efficiency, and release quality through automated quality gates, traceable results, and AI-driven triage. About the opportunity Ericsson Silicon develops ASICs and FPGAs for telecommunications infrastructure. We are seeking a hands-on technical leader to architect one tight CI/CD flow for silicon design, from RTL to GDSII—not simply maintain existing build jobs. You will lead the technical direction of Silicon CI, connecting OneRun, our front-end flow platform, with FlowJam, our back-end flow framework. Partner with IP, SoC, and physical design teams, CAD flow owners, IT and infrastructure, and EDA vendors across Austin, Stockholm, Lund, and India. Own CI/CD architecture and qualified engineering solutions; partner with the Silicon CAD Technical Program Manager on integrated delivery and adoption. Designated technical owners retain project signoff approval. What you will do Architect end-to-end silicon CI/CD: Define one pipeline architecture from RTL to GDSII across OneRun and FlowJam. Standardize review, nightly, and release pipelines for IP, SoC, and FPGA projects, independent of the EDA vendor underneath. Automate quality gates: Gate RTL changes on lint, CDC/RDC, simulation, formal, and synthesis checks, and netlist handoffs on SDC, UPF, and equivalence. Surface results before merge, not after integration. Make every result reproducible: Capture tool and PDK versions, inputs, waivers, and results for every run. Qualify tool, PDK, and flow updates through baseline, pilot, and production gates with rollback, aligned to tapeout windows. Scale and operate the platform: Optimize regression scheduling, compute, and license use. Publish metrics on throughput, failure rates, and cost, and keep CI infrastructure available, secure, and access-controlled. Apply AI to CI/CD: Deliver AI-assisted failure triage, regression analysis, and root-cause investigation, with agents executing through OneRun and FlowJam. Validate benefits against reproducible baselines; retain engineering review. Multiply technical impact: Set pipeline standards that teams adopt, resolve complex flow and infrastructure issues, and mentor engineers through design reviews, documentation, and shared ownership.
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## Short Description
What you will bring
10+ years in CI/CD, DevOps, or CAD infrastructure for ASIC, SoC, or FPGA development, with evidence of production deployment and successful tapeout contributions. Deep hands-on expertise architecting Jenkins pipelines, including Groovy and shared libraries, together with Git workflows on Gerrit or GitLab, artifact management, and release engineering. Working understanding of front-end and back-end silicon flows, from simulation, formal, and lint/CDC to synthesis, implementation, and signoff, and how to integrate EDA tools, licensing, and compute farms such as LSF. Specialist depth in one or more domains is valued; expertise in every domain is not required. Strong Python and shell skills, with experience building maintainable automation using Linux, code review, automated tests, and controlled releases. Demonstrated ability to turn difficult engineering problems into reusable solutions across projects, explain technical trade-offs, and lead through technical credibility across distributed teams. A bachelor’s or master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field—or equivalent practical experience. Critical Exposure Practical application of AI/ML or LLM-based tools to failure triage, test selection, or job scheduling; containers or hybrid cloud compute for EDA workloads; engineering analytics and dashboards; or measurable reductions in regression turnaround, compute cost, and time to release.
Own the engineering behind the pipeline—not just a job within it. Shape the architecture that connects front-end and back-end flows, work directly with design teams and EDA vendors, and turn automation and AI ideas into production capabilities. Your impact will be measured in faster feedback, fewer late surprises, and pipelines that engineers trust across programs.
## Behaviors
Collaboration
Building Relationships
Adaptability
Creativity and Innovation
Delivering Results
Planning and Organizing
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