Join arenaflex: Build the Future of Cloud Computing
Are you ready to be part of a technological revolution? At arenaflex, we're not just writing code—we're shaping the future of how billions of people interact with information and each other. Our engineering team is at the forefront of breakthrough innovations in distributed computing, large-scale infrastructure, artificial intelligence, and cloud platforms. We are currently seeking a talented and passionate Staff Software Engineer to join our High Performance Computing (HPC) and Machine Learning (ML) infrastructure team in Sunnyvale, USA.
This is a unique opportunity to work on systems that process enormous amounts of data, power cutting-edge machine learning applications, and support scientific computing at a global scale. As a Staff Software Engineer at arenaflex, you will be responsible for optimizing and developing HPC and ML solutions on the arenaflex Cloud Platform, working alongside some of the brightest minds in the industry. You'll have the chance to make a real impact, switching between projects and teams as both you and our rapidly evolving business grow.
What You'll Do
As a key member of our infrastructure engineering team, you will play a critical role in optimizing the performance of our cloud platform for HPC and machine learning workloads. Your technical expertise will be instrumental in designing, developing, testing, deploying, and maintaining software solutions that power some of the most demanding computational tasks in the industry.
Key Responsibilities
- Full Stack Optimization: Perform comprehensive stack optimization for HPC and ML performance on the arenaflex Cloud Platform (ACP) infrastructure, including kernel optimization, userspace communication libraries such as MPI library, libfabric, and NCCL, as well as client HPC and ML applications.
- Solution Development: Develop scalable HPC and ML solutions on the arenaflex Cloud Platform, focusing on performance, reliability, and efficiency.
- Technical Leadership: Establish technical direction and standards for a team of engineers, providing guidance, mentorship, and code reviews to ensure best practices are followed.
- Cross-Functional Collaboration: Work closely with product managers, other engineering teams, and stakeholders to understand requirements and deliver high-quality solutions.
- Innovation: Bring new ideas from all areas of computer science, including data retrieval, distributed computing, large-scale system design, networking, storage, security, AI, and UI design.
- Project Management: Manage project requirements, deadlines, and deliverables while ensuring alignment with business objectives.
- Continuous Improvement: Maintain, improve, and enhance existing software solutions, identifying opportunities for optimization and innovation.
What We're Looking For
We're searching for engineers who thrive on complex challenges and are passionate about pushing the boundaries of what's possible in cloud computing. The ideal candidate will have a strong foundation in software development, distributed systems, and performance optimization.
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Minimum 2 years of experience in software development with strong proficiency in data structures and algorithms.
- Minimum 2 years of experience building and scaling large-reaching systems, distributed systems, or networks.
- Demonstrated ability to work independently and collaboratively in a fast-paced environment.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills, both written and verbal.
Preferred Qualifications
- Advanced degree (Master's or PhD) in Engineering, Computer Science, or a related technical field.
- Experience with C programming and kernel-level development.
- Experience with Linux device drivers and the Linux Kernel.
- Knowledge of Remote Direct Memory Access (RDMA) technologies.
- Experience with Linux networking stacks, operating system tuning, and packaging.
- Background in HPC and ML communications, including MPI, collective communication libraries, libfabric, and socket programming.
- Experience optimizing performance for machine learning training and inference workloads.
- Familiarity with cloud computing platforms and architecture.
- Understanding of distributed computing principles and parallel processing.
Why arenaflex?
At arenaflex, we believe that great things happen when people work together. Our culture encourages innovation, collaboration, and continuous learning. We offer an environment where your ideas can make a real impact, and where your career can flourish.
Career Growth & Learning Opportunities
- Professional Development: Access to comprehensive training programs, conferences, and certifications.
- Career Mobility: Opportunities to switch teams and projects as you and our business evolve, allowing you to explore different areas of interest.
- Mentorship: Work with experienced mentors who will help guide your career development.
- Cutting-Edge Technology: Work with the latest tools and technologies in cloud computing, AI, and distributed systems.
- Leadership Development: Grow into leadership roles and take on increasingly complex challenges.
Work Environment & Culture
Our Sunnyvale campus is designed to foster creativity and collaboration. We offer:
- Modern, open-concept office spaces that encourage teamwork and innovation.
- Flexible work arrangements and remote work options where applicable.
- Wellness programs including on-site fitness centers and wellness resources.
- Collaborative team culture where every voice matters.
- Regular tech talks, hackathons, and innovation sprints.
- Diverse and inclusive workplace where differences are celebrated.
- Free meals, snacks, and beverages to keep you energized throughout the day.
Compensation & Benefits
We value our employees and are committed to providing competitive compensation and comprehensive benefits. The starting salary for this position is $35 per hour (based on a 40-hour workweek), with opportunities for overtime and performance-based bonuses. Additionally, we offer:
- Health & Wellness: Comprehensive health insurance (medical, dental, vision) for employees and their families.
- Retirement Plans: 401(k) with company matching.
- Paid Time Off: Generous vacation policy, sick leave, and holidays.
- Parental Leave: Extensive paid leave for new parents.
- Stock Options: Equity participation opportunities.
- Relocation Assistance: Support for qualified candidates relocating to Sunnyvale.
- Commuter Benefits: Subsidized public transportation and parking.
About arenaflex Cloud
arenaflex Cloud accelerates organizations' ability to transform their business with the best infrastructure, platform, and industry solutions digitally. We deliver enterprise-grade solutions that leverage arenaflex's state-of-the-art technology—all on the cleanest cloud in the industry. Customers from more than 200 countries and regions turn to arenaflex Cloud as their trusted partner to enable growth and solve their most critical business problems.
When you join arenaflex, you're not just joining a company—you're joining a movement. You'll work on projects that touch lives around the world, solve problems that have never been solved before, and help shape the future of technology.
Ready to Make an Impact?
If you're passionate about technology, thrive on complex challenges, and want to be part of something bigger than yourself, we encourage you to apply. We're looking for engineers who are versatile, demonstrate leadership qualities, and are excited to take on new problems across the full-stack as we continue to push technology forward.
At arenaflex, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and perspectives.
Apply now and join our team in Sunnyvale, USA!
arenaflex is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, disability, veteran status, sexual orientation, gender identity, or any other protected status.