Nebius Group talabchan sun’iy intellekt ish yuklamalarini yaratadigan va ishga tushiradigan tashkilotlar uchun AI infratuzilmasini ishlab chiqadi. Kompaniyaning asosiy mahsuloti hisoblash quvvati, ma’lumotlarni saqlash va dasturchilar uchun vositalarni birlashtirgan, sun’iy intellektga yo‘naltirilgan bulutli platformadir. Uning kengroq portfeli generativ AI, ta’lim texnologiyalari va avtonom texnologiyalarni ham qamrab oladi. Bosh qarorgohi Yevropada joylashgan va Nasdaq’da ro‘yxatdan o‘tgan kompaniya xalqaro miqyosda faoliyat yuritadi; uning Yevropa, Shimoliy Amerika va Isroilda tadqiqot hamda ishlab chiqish markazlari mavjud. Kompaniya bulutli hisoblash, korporativ dasturiy ta’minot va AI muhandisligi yo‘nalishlarida ishlaydigan jamoalar uchun imkoniyatlar yaratadi.
Senior Customer AI Engineer
Guide customers from proof of concept to production on Nebius’s AI cloud platform, helping them deploy AI workloads reliably and at scale. Improve performance, reliability, and cost efficiency while accelerating time to production and customer value.
Tavsif
- Guide customers from proof of concept through production deployment.
- Ensure customer workloads are stable, scalable, performant, reliable, and cost-efficient.
- Accelerate time to production and customer value.
- Assess customer architectures and use cases.
- Track and improve latency, throughput, cost efficiency, and reliability.
- Find and resolve performance bottlenecks proactively.
- Work directly with customer engineering teams.
- Advise customers on effective practices and optimization.
- Turn technical challenges into practical solutions.
- Serve as the primary technical contact for production issues.
- Coordinate incident resolution with internal teams.
- Communicate clearly under pressure.
- Find opportunities to optimize and expand customer usage.
- Share structured feedback with Product and Infrastructure teams.
- Help develop better solutions based on customer needs.
- Partner with Solution Architects and Product and Infrastructure teams to deliver stable, high-performing, cost-efficient deployments.
Talablar
- Practical knowledge of inference frameworks such as vLLM, TensorRT, or equivalents.
- Solid understanding of cloud or infrastructure systems.
- Solid understanding of distributed systems or high-load applications.
- Knowledge of AI and machine learning workloads, including LLMs and inference, is a strong plus.
- Ability to troubleshoot and analyze system performance.
- Experience working directly with technical customers, including engineers and machine learning teams.
- Ability to explain complex topics clearly and effectively.
- Strong ownership and focus on outcomes.
- Ability to manage multiple customers and competing priorities.
- Structured, proactive, solution-oriented approach.
- Experience with GPU workloads or AI infrastructure is a plus.
- Background in solutions engineering, site reliability engineering, or technical support in B2B environments is a plus.
- Must be authorized to work in the country of application and provide proof of employment eligibility.
Imtiyozlar
- Company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan with up to a 4% company match and immediate vesting.
- 20 weeks of paid parental leave for primary caregivers.
- 12 weeks of paid parental leave for secondary caregivers.
- Remote-work reimbursement of up to $85 per month for mobile and internet costs.
- Company-paid short-term disability, long-term disability, and life insurance.
- Competitive compensation.
- Career development and learning opportunities.
- Flexibility and ownership.
- Collaborative, innovative culture.
- Opportunity to work on impactful AI projects.
- International environment with talented teams.