Position: DevOps Engineer
Company: NVIDIA
Experience required: 1y
English level: upper

As a part of the team, you will lead complicated integrations which combining new technologies, automating processes, bringing up full software stacks, developing system scripts for cutting edge networking technologies with the quality requirements of industry-leading customers. You will work closely with NVIDIA's SDK development and gain an understanding of NVIDIA's products and technologies.
**What you'll be doing:**

- Ability to work in a fast-paced, high-speed environment, follow standardized work and adhere to safe work practices in a continuous improvement environment.
- Implement and drive flows of SW solutions for improving product.
- Analysis and diagnostics of bottlenecks in the most advance systems in the industry and in our network cards. Working closely with different HW and SW groups to acquire optimal solutions.
- Development and maintenance of automation tools and infrastructure.
- Identify potential or observed weaknesses in the current process.
- Offer ideas for actions that can improve quality, and participate in quality initiatives and drive continuous improvement.
- Analyze complex technical issues and independently drive resolution across multiple teams.
- Collaborate with team members, Architects, design, QA teams, and verification.
- Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results.

**What we need to see:**

- B.Sc. or equivalent experience in Computer Science, Computer/Software Engineering or related field.
- 1+ years work experience in a software development.
- Solid object-oriented programming skills and design patterns.
- Knowledge with Linux build systems (RPM, Make files).
- Strong understanding of Container Orchestration Systems(K8s/Mesos) and Container Technology.
- Programming Languages: Have experience programming and/or testing in Python, bash and C++/C as well as scripting languages.
- Background with CI methodology & tools (Git, Gerrit, Jenkins , Scrum, Eclipse, etc..).
- Linux knowledge: Have a general understanding of Linux operation system concepts.
- Quick learning ability, and strong analytical skills with attention to detail.
- Strong troubleshooting and debugging skills.
- Demonstrated uses of creative thinking for solutions to exciting problems that matter.
- Key contributor, willing to go the extra mile to achieve desired results.
- Understanding of performance, security, and reliability in complex distributed systems.
- Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies.

**Ways to stand out from the crowd:**

- Proven programming experience in Python, Linux, Bash and C++/C.
- Knowledge in Networking and protocols.
- Experience in Linux / virtualization.
- Experience working with SoC.
- Familiar with other SDK such as CUDA SDK.

**We offer:**
- Competitive salary.
- NVIDIA shares.
- Official employment (NOT as a PE), 28 days of paid vacation, paid sick leaves, company paid maternity leave for mothers and fathers.
- Premium medical insurance for employees and their children/spouses.
- Life insurance.
- Professional courses at Ivy League universities.
- Trainings and lectures.
- English classes.
- Personalized career development plan.
- Wellbeing programs.
- Annual performance, position, and salary reviews.
- Comfortable office in the city center (Leonardo Business Centre, near metro Teatralna and Zoloti Vorota).
- Parking.
- Ability to work remotely.
- Loyal Team Leader, always ready to teach and to help.
And these are not all the benefits that you will receive by joining NVIDIA!

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our GPU Verification team and help us build future interconnect architectures that will continue to drive us forward in the fields of High-Performance Computing, Graphics, and AI.​​