Role Description As a CAD/Flow Methodology Development leader at Tylsemi, you will define, build, and scale the EDA infrastructure and design signoff methodologies that enable teams to deliver silicon efficiently and repeatably. This role will be good for 10+ years of experience and is ideal for engineers who combine deep tool/flow expertise with strong cross-functional leadership—turning ambiguous productivity and quality goals into robust, automated, measurable flows used across multiple programs and sites. - Own end-to-end methodology for key implementation and signoff flows (front-end through back-end), with clear quality gates, metrics, and release processes. - Develop and maintain automated flows for synthesis, STA, P&R, physical verification (DRC/LVS), extraction, EM/IR, timing/power closure, and signoff reporting (scope aligned to your background). - Build reusable infrastructure: Makefiles/Python/Tcl-based automation, job orchestration, regression frameworks, dashboards, and standardized runsets. - Drive tool enablement and configuration across EDA vendors (e.g., Synopsys/Cadence/Siemens), including version qualification, best-known methods, and performance tuning. - Partner with design, PD, verification, DFT, packaging, and product engineering to define signoff criteria, checklists, and tapeout readiness reviews. - Create scalable collateral: flow documentation, onboarding guides, templates, reference designs, and training for new teams and new nodes. - Debug and root-cause flow issues (tool bugs, runset problems, environment drift, corner setup, library/constraint issues) and drive fixes to closure. - Establish and track KPIs (runtime, QoR, convergence rate, violation trends, tapeout escapes) and continuously improve cycle time and first-pass success. - Support multi-site execution with reproducible environments, access control, compute strategy, and robust release management. Qualifications - 10+ years of experience in CAD, design methodology, or physical design/STA with significant flow ownership (scope aligned to experience level). - Strong understanding of digital implementation and signoff concepts: constraints (SDC), timing closure, CDC/RDC considerations, power intent (UPF/CPF), physical verification, extraction, and signoff correlation. - Proven ability to build production-grade automation and infrastructure (Python, Tcl, shell, Make/CMake, Git-based workflows; CI/regressions a plus). - Experience qualifying and supporting EDA tools and flows across multiple projects, including versioning, runset management, and reproducibility. - Ability to translate engineering pain points into scalable methodology, with clear documentation and measurable outcomes. - Strong debugging skills across tool logs, QoR deltas, environment issues, and cross-team integration problems. - Clear communication and high ownership in cross-site, cross-functional environments. Requirements - EDA CAD/flow development. - Design methodology and signoff flows. - Automation/scripting (Python/Tcl/shell). - Tool enablement and regression infrastructure. - Cross-functional technical leadership. Nice to Have - Hands-on experience with advanced-node considerations (multi-corner/multi-mode scale, variation, DFM, reliability signoff, foundry collateral integration). - Experience with compute/grid orchestration (LSF/SLURM/Kubernetes), containerized environments, and reproducible builds. - Flow integration for formal/CDC, low-power verification, DFT signoff, or mixed-signal/AMS-adjacent signoff needs. - Experience building QoR/runtimes dashboards and automated tapeout readiness reporting. - Prior ownership of tapeout-critical signoff checklists and release processes across multiple programs. Success in This Role Looks Like - Teams run consistent, reproducible flows with clear signoff criteria and minimal manual intervention. - Tapeout readiness is predictable: fewer late surprises, faster convergence, and strong correlation across tools and stages. - Automation and regressions catch issues early (environment drift, runset changes, library/constraint problems) before they impact schedules. - Cycle time improves measurably through runtime optimization, standardized methodology, and reusable collateral. - Cross-functional partners trust the flow: documentation is clear, support is responsive, and releases are well-managed. Location - Bengaluru, India - San Jose, CA Experience - 10+ years (scope and ownership will be aligned to experience level).

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Data Engineering - REMOTE. In this strategic role, you will lead the initiatives that bridge the critical functions of data engineering with our Go-to-Market (GTM) approach. Your expertise will be essential in driving the architecture that enables business growth through data-driven decisions. You will directly collaborate with marketing and sales leaders to enhance operational efficiencies. This position not only offers you the chance to innovate and lead but also to impact real-world business outcomes. Join a dedicated team where your contributions will be valued and recognized as we redefine financial automation. - Lead GTM Data Enablement strategy and roadmap; translate business goals into scalable technical plans and measurable outcomes. - Own the vision and architecture for our CDP and product instrumentation to deliver real-time, reliable event data to GTM systems. - Build and maintain the ‘paved path’ from data lake/warehouse to GTM tools, enabling audience segmentation, activation, and customer 360. - Drive end-to-end data orchestration and quality for GTM use cases. - Manage, coach, and grow a team of GTM enablement engineers; instill a culture of accountability and innovation. - Collaborate closely with Data Platform/Infra to leverage the enterprise source of truth while meeting performance goals. - Partner with GTM leaders to prioritize high ROI initiatives and communicate progress effectively. Qualifications - 10+ years in data engineering or analytics with experience supporting Marketing, Sales, or Growth operations. - Proven leadership in building and leading technical teams in a fast-paced SaaS environment. - Expertise in GTM data concepts like event instrumentation, lead scoring, attribution, and campaign activation. - Strong ability to translate complex technical solutions into business value for non-technical partners. - Hands-on experience with modern data platforms/architectures and CDP ecosystems. - Demonstrated success in delivering real-time data pipelines and audience activation across GTM tools. Benefits - 100% paid employee health, dental, and vision plans. - HSA & FSA accounts. - Life Insurance and disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays, wellness days, and flexible time off. - Employee Stock Purchase Program with discounts. - Wellness and fitness initiatives. - Employee recognition and referral programs. - And much more.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Capacity Operations Manager - REMOTE. In this role, you will play a pivotal part in coordinating the development of High-Performance Computing (HPC) clusters, enhancing GPU capacity management, and optimizing resources across various cloud platforms. Your insights will guide strategic capacity decisions while implementing innovative technologies that advance not only our cloud infrastructure but also the overall user experience. Collaborating with cross-functional teams will be essential to drive efficiency initiatives, ensuring that our advancements are both impactful and sustainable. Join us to make a significant contribution to the future of computing technology. Accountabilities - Coordinate the development of High Performance Computing (HPC) clusters. - Direct and improve GPU capacity and compute resources across cloud service platforms. - Design and manage data models, reporting platforms, and performance measures. - Assess technical and business requirements for GPU capacity. - Identify performance bottlenecks in compute resource usage. - Drive efficiency initiatives in partnership with engineering and finance teams. - Develop and enhance tooling for cloud infrastructure and analytics. - Collaborate with Finance, Product, and Infrastructure Engineering teams. Qualifications - Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. - 8+ years of experience in cloud computing and managing GPU capacity. - Strong technical proficiency in cloud architecture and data management. - Comprehensive knowledge of cloud service models (IaaS, PaaS, SaaS). - Experience with cloud service providers like AWS, Azure, GCP. - Demonstrated experience using AI tools for data insights. - Knowledge of statistical modeling and machine learning methodologies. - Strong communication and relationship-building skills. - Self-starter with a focus on continuous learning and adaptation. - Ability to operate effectively in uncertain and rapidly changing environments. Benefits - Competitive salary based on location and experience. - Equity options available. - Comprehensive health and wellness benefits. - Opportunities for professional growth and development. - Flexible working hours and remote work option. - Dynamic and inclusive work environment. - Access to cutting-edge technology and resources.

• Enable the engineering organization through exceptional technical leadership and people management. • Lead a team of engineers to build, scale, and maintain high-impact consumer-facing applications. • Apply deep full-stack (FE/BE) building experience to ensure technical excellence across platforms. • Shape the engineering culture and hold a strong performance bar to support the mission of making mental healthcare work for everyone.