Work Schedule

Environmental Conditions

Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with an annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, growing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our distributed team of more than 130,000 colleagues delivers an unrivalled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

For more information, please visit www.thermofisher.com. 

About the Role

We are seeking a versatile and highly skilled Software Development Engineer with 2–8 years of hands-on experience across systems programming, cloud-native development, and microservices architecture. This is a great opportunity to work on ground breaking systems involving AI/ML model serving & retraining (e.g., NVIDIA Triton), high-performance computing, and distributed services.

You will be responsible for crafting, developing, deploying, and maintaining robust software solutions that talk to hardware, cloud infrastructure, and services running at scale.

Key Responsibilities

Craft and develop scalable and high-performance applications and services using C++, Python and C#.

Integrate and optimize model inference using NVIDIA Triton Inference Server.

Develop and manage microservices using gRPC and REST APIs for Kubernetes environments.

Implement infrastructure as code and deployment pipelines using Docker, Helm, and CI/CD tools.

Work closely with hardware systems like Nvidia Jetson/Orin running Linux to diagnose, solve, and optimize hardware-software interactions.

Collaborate with multi-functional teams to define system architecture and deliver end-to-end solutions.

Write clean, maintainable, and well-tested code following standard methodologies.

Continuously monitor and improve system performance, reliability, and scalability.

Required Skills and Qualifications

2–8 years of experience in software development using C++, Python, C# languages.

Hands-on experience with Triton Inference Server or similar model-serving frameworks, MLFlow.

Strong background in cloud-native architectures using AWS, Docker, Kubernetes, and Helm.

Strong in Systems Engineering, Linux networking, security, NVIDIA Jetson Infrastructure tooling around OS layer.

Experience developing and deploying microservices, particularly with gRPC.

Proven understanding of CI/CD pipelines and DevOps standard methodologies.

Comfortable working in Linux-based environments and interfacing with hardware components.

Strong debugging, performance tuning, and hardware fixing skills.

Experience with smart embedded systems or IoT devices.

Familiarity with cloud monitoring and observability tools.

Understanding of GPU acceleration or edge computing scenarios.

Contributions to open-source or involvement in ML/AI system development.