11 дней назад
Software Development Engineer II, AWS SageMaker AI
11 975 - 16 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Development Engineer II, AWS SageMaker AI (Distributed AI Platforms): Building and operating Model Factory, a managed platform for foundation-model data preparation, training, evaluation, and deployment with an accent on workflow orchestration, compute integrations, and distributed-systems reliability. Focus on designing fault-tolerant services for long-running GPU and accelerator jobs, developing SDK and contract layers, and integrating cloud-native machine-learning infrastructure.
Location: Bellevue, Washington, USA
Salary: $143,700–$194,400 USD annually, plus sign-on payments and restricted stock units.
Company
Amazon AI develops cloud-based artificial intelligence services and platforms through AWS SageMaker AI.
What you will do
- Design, build, test, and operate services that orchestrate foundation-model data preparation, training, evaluation, and deployment.
- Own platform components end to end, including design, implementation, deployment, monitoring, and on-call operations.
- Build compute integrations and job launchers across SageMaker, EMR, AWS Batch, and Kubernetes/EKS.
- Improve resiliency for long-running distributed jobs through checkpointing, recovery, retries, metrics, logging, and experiment tracking.
- Extend the SDK, workflow orchestration, schema and contract layers, and AWS CDK infrastructure.
- Collaborate with ML scientists and internal customers, contribute to architecture discussions, and mentor interns and new engineers.
Requirements
- 3+ years of non-internship professional software development experience.
- 2+ years of experience designing or architecting reliable and scalable systems.
- Experience developing large-scale, multi-tiered, multi-threaded, embedded, or distributed applications using C#, C++, Java, or Perl.
- Experience with object-oriented design and at least one programming language.
- Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
- Experience across the software development lifecycle, including testing and operations.
Nice to have
- Experience with workflow orchestration, event-driven architectures, or service-oriented architectures.
- Experience with Kubernetes/EKS, Ray, Slurm, AWS Batch, AWS CDK, or CloudFormation.
- Experience operating managed cloud services at scale with checkpointing and fault tolerance.
- Familiarity with ML training workflows, GPU or accelerator computing, PyTorch FSDP, Megatron-LM, DeepSpeed, or verl.
Culture & Benefits
- Health, dental, vision, prescription, life, and accidental death and dismemberment insurance.
- 401(k) matching, paid time off, and parental leave.
- Flexible spending accounts, employee assistance, mental health support, and medical advice services.
- Sign-on payments and restricted stock units may be included in the compensation package.
- Inclusive workplace with accommodation support throughout the hiring and onboarding process.
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