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