Careers at AirHop

The Role:

You will manage on-site product support for our Tokyo-based customers. This role offers a fast-paced startup environment where you will take immediate ownership of complex technical deployments and accelerate your career in the wireless industry.

Key Responsibilities:

Deployment & Operations: Oversee the deployment, maintenance, and monitoring of AirHop products in customer local cloud networks.

System Management: Lead daily operational monitoring, status reporting, and AirHop solutions’ system configuration adjustments. Coordinate with program management regarding priorities, bug status, release dates, etc.

Technical Support: Triage operational issues and provide DevOps support for system updates in coordination with customers and RAN vendors.

Analytics & Automation: Design scripts for KPI/log data processing and analyze metrics to ensure peak product performance. Design and implement scripts that generate statistics, reports, and batch process KPI/log data.

Global Coordination: Partner with R&D and program management teams to execute lab/field testing and align on solution release priorities.

What you will bring:

– B.S. in Electrical Engineering, Computer Science, or an equivalent technical field.

– Proficiency in Python and Unix Shell is required.

– Hands-on experience with orchestration and virtualization (Kubernetes, Docker, OpenStack, or VMs).

– Strong written and verbal communication skills with a self-driven, independent work ethic.

– Experience with wireless networks or SON technology is a significant plus.

Where you will work:

This position is on-site at our customer location(s) in Tokyo, Japan.

This is a full time position. Interested  parties please send all cover letters and resumes (pdf or word) to jobs@airhopcomm.com.

The Role:

You will develop, integrate, debug, and maintain software for AirHop’s AI-powered wireless network automation and optimization solutions. You will enjoy the flexibility and convenience of a flexible hybrid work environment.

What you will do:

– Architect, develop and deploy the next-generation cloud-native Open RAN automation and optimization applications in Open RAN architecture.

– Participate in defining the architecture and implementation of AI/ML (Artificial Intelligence and Machine Learning) algorithms.

– Perform functional and performance analyses on algorithms deployed in production networks.

– Work closely with AirHop’s Open RAN partners and customers.

You will succeed if you:

– Express a strong curiosity about what is possible.

– Provide collaborative support to your team members.

– Have the mindset of continual product improvement and customer success.

– Adapt to dynamic environments.

– Have confidence in your ability to make significant contributions to the team.

What you will bring:

– B.S. in Computer Science or comparable experience.

– High proficiency in Python, including asyncio experience, is a must.

– Experience with C, Javascript, Go, Scala a plus.

– At least 5 years of software development experience on Linux platforms.

– Experience with container-based deployment, Docker, Kubernetes, and Helm.

– Design and development experience using REST APIs in a client-server architecture.

– Knowledge of wireless technologies (LTE, 5G NR) is a plus.

Where you will work:

This position can be fully remote, in our offices in San Diego, or hybrid depending on the candidate.

This is a full time position. Interested  parties please send all cover letters and resumes (pdf or word) to jobs@airhopcomm.com.

The Role:

We are looking for a skilled and motivated Software Developer to join our team. In this role, you will work closely with SMO/RIC platform partners to understand their technical requirements and develop, test, and deploy software solutions tailored to their platforms. Your contributions will play a critical role in advancing our AI/ML-based solutions within the RAN ecosystem.

What you will do:

– Collaborate with SMO/RIC vendor partners to gather, analyze, and document technical requirements for deploying our solutions.

– Design, develop, and optimize software components to integrate our AI/ML-based applications on various SMO/RIC platforms.

– Conduct thorough testing, debugging, and validation to ensure reliable and efficient deployment.

– Maintain up-to-date knowledge of RIC standards, interfaces (e.g., R1, E2, A1), and related technologies.

– Provide technical support and troubleshooting during integration and deployment phases.

– Work closely with internal teams, including AI/ML engineers and product managers, to align development efforts with strategic goals.

You will succeed if you:

– Express a strong curiosity about what is possible.

– Provide collaborative support to your team members.

– Have the mindset of continual product improvement and customer success.

– Adapt to dynamic environments.

– Have confidence in your ability to make significant contributions to the team.

What you will bring:

– B.S. in Computer Science or equivalent experience.

– High proficiency in Python (including asyncio) is a must.

– Experience with C, JavaScript, Go, Scala a plus.

– At least 5 years of software development experience on Linux platforms.

– Experience with container-based deployment, Docker, Kubernetes, and Helm.

– Design and development experience using REST APIs in a client-server architecture.

– Knowledge of wireless technologies (LTE, 5G NR, Open RAN) is a plus.

Where you will work:

This position can be fully remote, in our offices in San Diego, or hybrid.

This is a full time position. Interested  parties please send all cover letters and resumes (pdf or word) to jobs@airhopcomm.com.

The Role:

We are seeking a highly skilled and motivated Systems AI/ML Engineer to join our team. You will play a critical role in designing, implementing, and scaling AI/ML solutions tailored to optimize complex 4G, 5G (and beyond) radio access networks. This role is ideal for an engineer with a passion for applying cutting-edge AI techniques to real-world telecommunications challenges.

What you will do:

– Develop new RAN automation and optimization algorithms for 5G NR and LTE systems.

– Develop simulations, test scenarios, and experiments to validate solutions in collaboration with the systems engineering team.

– Own the algorithm from system design and simulation through field testing and productdeployment in the customer cellular network.

– Analyze and process diverse data sources, including time-series and geospatial data, for feature engineering and model training..

– Stay abreast of emerging AI/ML trends, tools, and technologies, and evaluate theirapplicability to our domain.

– Work closely with the system engineering team.

– Work closely with software engineers on product architecture definition.

– Work closely with the test and integration team on test plans.

You will succeed if you:

– Demonstrate leadership by proactively identifying opportunities to enhance network performance using AI/ML solutions.

– Provide collaborative support to your team members.

– Have the mindset of continual product improvement and customer success.

– Adapt to dynamic environments.

– Have confidence in your ability to make significant contributions to the team.

What you will bring:

– Master’s degree in electrical engineering, computer science, or equivalent. A Ph.D. is preferred.

– 3+ years of experience in AI/ML model development and data engineering, preferably in telecommunications or networking.

– Proficiency in Python and experience with AI/ML frameworks such as PyTorch and TensorFlow.

– Strong understanding of reinforcement learning, generative AI, and predictive modeling techniques.

– Familiarity with telecommunications systems, including RAN architecture, 4G/5G technologies, and SON principles.

– Excellent problem-solving skills and a proven ability to tackle complex, data-driven challenges.

– Strong communication and collaboration skills.

Where you will work:

This position can be fully remote, in our offices in San Diego, or hybrid.

This is a full time position. Interested  parties please send all cover letters and resumes (pdf or word) to jobs@airhopcomm.com.