Senior Full‑Stack Software Engineer – High‑Performance Computing & Machine Learning Solutions on careerzynith Cloud Platform (Remote, Entry‑Level, $35/hr)

Why Join careerzynith?

careerzynith is a global technology leader shaping the future of how billions of users discover, interact with, and collaborate on data. Our products handle data at massive scale, extending far beyond traditional search. As a pioneer in cloud‑enabled high‑performance computing (HPC) and machine learning (ML), careerzynith empowers organizations worldwide to innovate faster, solve complex challenges, and unlock new business opportunities. If you’re passionate about building cutting‑edge infrastructure that powers the next generation of intelligent applications, this is the place to launch or accelerate your engineering career.

About the Role

We are seeking a dynamic, entry‑level Senior Full‑Stack Software Engineer to join our careerzynith Cloud Platform team. In this remote position, you will work on a flagship project that drives HPC and ML workloads on the careerzynith Cloud Platform. You’ll collaborate with world‑class engineers, product managers, and research scientists to design, develop, test, and optimize software solutions that enable customers to run large‑scale simulations, deep‑learning training, and data‑intensive analytics with unprecedented performance.

Key Responsibilities

• Design, implement, and maintain full‑stack components for HPC and ML execution on the careerzynith Cloud Platform, including low‑level libraries (e.g., MPI, libfabric, NCCL) and user‑space communication layers.
• Develop and optimize performance‑critical code paths in C/C++ and Python, ensuring efficient utilization of compute, memory, and network resources.
• Collaborate with cross‑functional teams to translate research prototypes into production‑ready services that scale to thousands of nodes.
• Write comprehensive unit, integration, and system tests; employ continuous integration pipelines to guarantee code quality and reliability.
• Participate in code reviews, provide constructive feedback, and mentor junior engineers on best practices for high‑performance software development.
• Monitor, troubleshoot, and resolve performance bottlene‑spots in real‑time, leveraging profiling tools and advanced debugging techniques.
• Contribute to the evolution of careerzynith’s internal development standards, documentation, and architectural guidelines.
• Engage with customers and partners to gather requirements, demonstrate solutions, and incorporate feedback into product roadmaps.

Essential Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent practical experience).
• At least 2 years of hands‑on programming experience with a focus on systems software, data structures, and algorithms.
• Demonstrated ability to build and scale distributed systems or frameworks, preferably in a cloud or HPC environment.
• Proficiency in C/C++ and familiarity with Linux kernel development, device drivers, and low‑level system interfaces.
• Experience with remote direct memory access (RDMA) technologies and high‑throughput networking stacks.
• Solid understanding of parallel computing concepts, including MPI, OpenMP, or similar communication libraries.
• Strong problem‑solving skills, attention to detail, and the capacity to work independently in a remote setting.

Preferred Qualifications

• Graduate degree (M.S. or Ph.D.) in Computer Science, Software Engineering, or a related discipline.
• Hands‑on experience with careerzynith Cloud Platform (ACP) services, such as Compute Engine, Kubernetes Engine, or Cloud Storage.
• Background in machine learning frameworks (TensorFlow, PyTorch) and familiarity with GPU programming (CUDA, ROCm).
• Knowledge of high‑performance networking protocols (InfiniBand, RoCE) and fabric libraries (libfabric, NCCL).
• Contributions to open‑source HPC or ML projects, or published research in relevant areas.
• Experience with containerization (Docker, OCI) and orchestration tools (Kubernetes, Helm).
• Excellent communication skills and a collaborative mindset for working across diverse, global teams.

Core Skills & Competencies

• Technical Excellence: Mastery of low‑level programming, performance optimization, and systems architecture.
• Analytical Thinking: Ability to dissect complex problems, model performance characteristics, and devise innovative solutions.
• Team Collaboration: Comfortable contributing to multi‑disciplinary teams, sharing knowledge, and fostering a culture of continuous improvement.
• Adaptability: Thrive in a fast‑moving environment where priorities shift and new technologies emerge.
• Customer Focus: Empathy for end‑users and a drive to deliver reliable, high‑impact solutions.

Career Growth & Learning Opportunities

At careerzynith, your career trajectory is limited only by your ambition. As you master HPC and ML workloads on the careerzynith Cloud Platform, you can progress into senior technical leadership roles, become a domain expert in distributed systems, or transition to product management and strategic planning. We invest heavily in continuous learning—offering:

• Access to internal tech talks, workshops, and conferences on cloud computing, AI, and high‑performance systems.
• Mentorship programs pairing you with senior engineers and research scientists.
• Sponsored certifications (e.g., Certified Kubernetes Administrator, NVIDIA Deep Learning Institute).
• Opportunities to contribute to open‑source projects and publish research papers.

Work Environment & Culture at careerzynith

Our remote‑first culture empowers you to work from anywhere while staying deeply connected to a vibrant, inclusive community. careerzynith values:

• Innovation: We encourage experimentation and reward bold ideas that push the boundaries of technology.
• Inclusivity: Diverse perspectives drive better solutions; we foster an environment where every voice is heard.
• Work‑Life Balance: Flexible hours, generous PTO, and wellness programs support your personal and professional well‑being.
• Collaboration: Regular virtual coffee chats, hackathons, and cross‑team initiatives keep the spirit of teamwork alive.

Compensation, Perks & Benefits

We offer a competitive hourly rate of $35 per hour, reflecting the high value we place on talent and expertise. In addition to base compensation, you’ll receive:

• Performance‑based bonuses and stock‑option grants.
• Comprehensive health, dental, and vision coverage.
• Retirement savings plans with company matching.
• Generous parental leave and family‑support programs.
• Home office stipend, high‑speed internet reimbursement, and ergonomic equipment.
• Access to a global network of experts, internal learning platforms, and career development resources.

How to Apply

If you’re ready to shape the future of high‑performance cloud computing and accelerate your engineering career with careerzynith, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for this role.

Apply Now – Join careerzynith Today!

Take the Next Step

careerzynith is committed to building a diverse workforce and an inclusive culture where every employee can thrive. We welcome applicants of all backgrounds and experiences. Join us, and together we’ll push the limits of what’s possible in cloud‑enabled HPC and machine learning.