3 дня назад
System Software Engineer (AI)
120 500 - 243 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
System Software Engineer (Distributed Systems/AI): Designing, developing, testing, and debugging systems software and large-scale distributed services with an accent on microservices, databases, APIs, and production AI integrations. Focus on leading subsystem development, solving complex integration issues, and mentoring software engineering teams.
Location: Onsite at an HPE office in the United States; salary information specifies California
Salary: $120,500–$243,000 annual base salary in California, United States. Variable incentives may also be offered.
Company
is a global edge-to-cloud technology company connecting, protecting, analyzing, and managing data and applications from edge to cloud.
What you will do
- Design and develop enhancements, updates, and programming changes for systems software and distributed products.
- Analyze architecture and define coding, programming, integration, and testing activities.
- Write testing plans and documentation, debug code, and resolve integration issues.
- Lead project teams of software systems engineers and internal or outsourced development partners.
- Collaborate with management, architects, development partners, and other stakeholders on design status, progress, and issue resolution.
- Represent the software systems engineering team on complex development projects and mentor less-experienced engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or an equivalent field.
- 4+ years of software development experience.
- Experience with one or more of Golang, Python, or Java.
- Experience with distributed systems and microservice architectures using Docker, Kubernetes, and Kafka.
- Experience with RESTful APIs, RPC frameworks, WebSockets, databases, and big data technologies.
- Strong analytical and problem-solving skills, including SQL and NoSQL database knowledge.
Nice to have
- Understanding of fundamental machine learning concepts and production integration patterns.
- Experience developing software that interfaces with ML models and AI services.
- Knowledge of data preprocessing and feature engineering from a software implementation perspective.
Culture & Benefits
- Health, financial, and emotional wellbeing benefits for employees and their families.
- Personal and professional development programs supporting technical specialization and career growth.
- Inclusive workplace that values varied backgrounds and individual uniqueness.
- Work and personal needs flexibility within an onsite office-based role.
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