Software Engineer I

Position Summary  

Join F5's Digital organization as a Software Development Engineer (AI) and launch your career with a talented team of engineers. In this entry-level role, you will collaborate with experienced mentors, contribute to meaningful projects, and work with technologies that power real-world solutions across our digital ecosystem.  

As a Software Development Engineer (AI), you will contribute to the design and development of scalable systems, explore AI and machine learning technologies, and grow your technical expertise in a supportive environment. Whether your interest is backend development, DevOps, machine learning engineering, or expanding your technical toolkit, you'll take on progressively challenging projects, build your skills, and establish a strong foundation for your career at F5.  

Location: This role is based in Seattle, WA. 

The Ideal Candidate Will Be Able To:  

• Contribute to real-world projects across the full development cycle, collaborating with the team to deliver solutions that meet project goals.  

• Work with peers to design, implement, and test code in a collaborative environment, receiving feedback and guidance from senior engineers.  

• Analyze requirements, test features, and integrate components into applications with support and mentorship.  

• Create technical documentation for designs and new features, learning best practices in technical writing and communication.  

• Participate actively in design and code reviews to absorb best practices, understand quality standards, and continuously improve code quality.  

• Collaborate with your team to explore and develop data-driven solutions using machine learning and AI technologies.  

• Ask questions, seek clarification, and leverage mentorship to navigate challenges and accelerate your learning. 

Knowledge, Skills and Abilities:  

• Technical Curiosity: You're eager to apply your programming knowledge, learn new languages and tools, and actively grow your technical skill set.  

• Problem-Solving Mindset: You think critically, use data to inform decisions, and aren't hesitant to seek guidance when faced with challenges.  

• Adaptability & Initiative: You're willing to embrace new challenges, contribute ideas to team discussions, and adjust as projects evolve.  

• Team Player: You enjoy collaborating with others, exchanging ideas, and supporting peers to achieve common goals.  

• Strong Communicator: You can articulate your thoughts clearly, listen actively, and value diverse perspectives on the team.  

• Growth Mindset: You view feedback as an opportunity to improve and are committed to continuous learning and professional development. 

Required Qualifications:  

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related field. 

• Demonstrated programming experience in Python (preferred) or Java/C++/Go, including building APIs/services, writing tests (pytest/JUnit), and using Git in a collaborative codebase.  

• Hands-on exposure to machine learning and deep learning concepts and tooling, such as PyTorch (preferred) or TensorFlow/JAX, including training/inference workflows and basic model evaluation.  

• Familiarity with modern LLM tooling and patterns, such as Hugging Face Transformers, prompt engineering, and retrieval-augmented generation concepts (embeddings + search).  

• Exposure to data handling for ML, including common formats and pipelines (e.g., Parquet, basic ETL, and data quality checks).  

• Demonstrated knowledge of computer science fundamentals (e.g., data structures and algorithms).  

• Must be willing to relocate to Seattle, WA or San Jose, CA if not currently based in one of these locations. 

Preferred Skills (Not Required but Valued)  

• Experience with API development (e.g., FastAPI/Flask, REST/gRPC) and backend fundamentals (auth, pagination, error handling).  

• Experience implementing retrieval-driven AI applications using LangChain/LlamaIndex and vector search technologies (e.g., pgvector, Pinecone, Milvus, Weaviate).  

• Familiarity with fine-tuning approaches (e.g., LoRA/PEFT) and/or ML experimentation tools (MLflow or Weights & Biases).  

• Exposure to containers and modern DevOps: Docker, Kubernetes basics, CI/CD (e.g., GitHub Actions, GitLab CI).  

• Observability basics: logging/metrics/tracing (e.g., OpenTelemetry, Prometheus/Grafana concepts).  

• Experience with distributed/data tooling used in ML workloads: Spark, Ray, Kafka, or Airflow. 

Why You’ll Love F5   

• Seamless Transition: Move from internship to full-time with continuity in your team, projects, and growth trajectory 

• Professional Development: Continue developing your skills with ongoing training, mentorship, and access to advanced learning opportunities 

• Meaningful Work: Contribute to real business impact and solve complex enterprise data challenges 

• Collaborative Culture: Work alongside experienced analysts, engineers, and leaders in an inclusive, innovative environment 

• Career Growth: Excel in your role and build a long-term career path with F5, including opportunities for advancement and specialization 

• Inclusive Community: Be part of F5's diverse, people-first culture where individual contributions are valued 

Compensation & Benefits 

• Competitive salary commensurate with experience and market conditions 

• Comprehensive health, wellness, and retirement benefits 

• Professional development and continuous learning opportunities 

• Work-life balance benefits including flexible work arrangements 

• Hybrid work environment with periodic in-office collaboration in Seattle 

• Mentorship and career growth opportunities within the F5 Digital organization 

• Access to F5's employee resource groups and community