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AI, Sr Staff Engineer

pin iconHyderabad, Telangana India Apply Now
Category: Engineering Hire Type: Employee
Job ID 48940BR Date posted 03/19/2024
Synopsys’ Generative AI Center of Excellence defines the technology strategy to advance applications of Generative AI across the company. The Gen AI COE pioneers the core technologies – platforms, processes, data, and foundation models – to enable generative AI solutions, and partners with business groups and corporate functions to advance AI-focused roadmaps.

We are looking for an experienced, passionate, and self-driven individual who possesses both a broad technical strategy and the ability to tackle architectural and modernization challenges. As an Ideal candidate will help build enterprise Machine Learning platform. They will work with a team of enthusiastic and dynamic ML engineers and Data scientists in building a platform to help Synopsys R&D teams to experiment, train models and build Gen AI & ML products.

You will be responsible for:
  • Building AI Platform for Synopsys to orchestrate enterprise-wide Data pipelines, ML training, and inferencing servers.
  • Develop "AI App Store" eco system to enable R&D teams to host Gen AI applications in Cloud
  • Develop capabilities to ship Clou Native (Containerized) AI applications/AI systems to on-premises customers
  • Orchestrate GPU Scheduling from within Kubernetes eco-system (e.g. Nvidia GPU Operator, MIG, and so on)
  • Create reliable and cost-effective Hybrid cloud architecture using cutting edge technologies (E.g. Kubernetes Cluster Federation, Azure Arc and so on)
Required Qualifications
  • BS/MS/PhD in Computer Science/Software Engineering or an equivalent degree
  • 10+ years of total experience building systems software, enterprise software applications, ML applications and microservices
  • Expertise and/or experience in following programming languages : Python, and Go
  • Design complex distributed systems (High-level and low-level systems design)
  • In-Depth Kubernetes knowledge: Be able to deploy Kubernetes on-prem, and working experience with managed Kubernetes services (AKS/EKS/GKE)
  • Strong systems knowledge in Linux Kernel, CGroups, namespaces, and Docker
  • Experience with at least one cloud provider (AWS/GCP/Azure)
  • Ability to solve complex problems using efficient algorithms
  • Experience with using RDBMS (PostgreSQL preferred) for storing and queuing large sets of data
Nice to have:
  • Prior experience with AI/ML workflows and tools (PyTorch, ML Flow, AirFlow, …)
  • Experience prototyping, experimenting, and testing with large datasets, and analytic data flows in production
  • Strong fundamentals in Statistics, Machine Learning, and/or Deep Learning
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Synopsys Hiring Process 1. Apply. As an applicant, your resume, skills, and experience are being reviewed for consideration. 2. Phone screen. Once your resume has been selected, a recruiter and/or hiring manager will reach out to learn more about you and share more about the role. 3. Interview. You will be invited to meet with the hiring team to measure your qualifications for the role. Our interviews are held either in person or via zoom. 4. Offer. Congratulations! You have been selected as a finalist; your recruiter will reach out to propose your offer details. A written offer will soon follow. 5. Onboarding. You will be invited to complete new hire documents to ensure you are set-up and prepared for your first day. 6. Welcome. Your hiring manager, team, and an assigned buddy will help you get acclimated. Over the next few weeks, you will receive communications and engagement invitations that will help ramp you up for your future at synopsys

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