Mission Systems Avionics Engineer supporting engineering design, integration, and certification of mission avionics systems. Collaborating with teams on KC - 46 project tasks in Everett, WA and Tukwila, WA.
About the role
- Senior ML Services Engineer at Adobe developing robust AI/ML infrastructure solutions for large-scale AI models. Collaborating with cross-functional teams to optimize services leveraging AWS and Kubernetes.
Responsibilities
- Design, develop, and maintain robust AI/ML infrastructure solutions to support the inference and deployment of large-scale AI models using Kubernetes and Python on popular services such as AWS cloud
- Optimization of services to address high performance, latency, and throughput (load) requirements
- Understanding sophisticated service requirements and technical constraints of various platforms while implementing solutions to vastly simplify the software stack, accelerating the inference ML models
- Experience in building platform features to generalize across multiple customer applications
- Collaborate closely with client or customer application teams to build re-usable solutions
- Build the infrastructure for developing efficient, reliable, testable services code in a variety of technical stacks
- Work closely with partner engineering teams to guide the development process from requirements and design through development, integration, testing, and deployment
- Partner closely with various Adobe teams advising on using our technology, investigating bugs, and collaborating on providing new features
- Respond to urgent production issues requiring fast resolution and deployment of code fixes/updates
- Participate in inventing technology that has an enormous impact across Adobe, writing patents, and participating in an active internal community of software development professionals
Requirements
- Bachelor's degree, Master’s degree, or equivalent experience in Computer Science, Engineering, Mathematics, etc. or equivalent practical experience
- Firm computer science fundamentals, including design patterns, algorithms, asymptotic complexity, parallelism, and database schema design
- Previous experience building, optimizing and operating GPU intensive machine learning workloads in production environments with strong hands-on experience with large-scale GenAI model inference
- Exceptional understanding of model serving, orchestration, scaling, GPU resource management
- Highly proficient using programming languages such as Go/Python/Rust, Linux environments, k8s, and AWS
- Well established distributed computing principles, proven experience building high scale high performance cloud platforms and services
- Extensive experience with CI/CD and an in-depth knowledge of containerization and modern deployment strategies & monitoring tools
- Works well in a small, collaborative, highly productive team environment across multiple geographies
- Excellent verbal and written communication skills
- Bonus Qualifications: Experience with GPU-based ML inference services
Benefits
- Adobe aims to make Adobe.com accessible to any and all users
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
- Bonuses
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