Salary: USD 80,600 – 134,300 per year
Location: onsite in Seattle, WA
Incentive: discretionary annual incentive program
Impact: contribute to scalable software for AI platforms and consumer devices within a cross-functional AI and Systems Co-Design team
Collaboration: work with engineers across custom hardware, embedded systems, and cloud infrastructure
Performance optimization: apply profiling, benchmarking, and system tuning to improve quality and efficiency
Mobility: travel up to 10% on average based on project needs
Sponsorship: limited immigration sponsorship may be available

Design, develop, and optimize scalable software for AI platforms and consumer devices
Integrate and automate load, stress, and real-user scenario testing into the development and production lifecycle
Analyze, monitor, and address performance, reliability, and scalability challenges in complex systems
Collaborate with engineers working on custom hardware, embedded systems, and cloud infrastructure
Apply advanced profiling, benchmarking, and system optimization techniques
Contribute to solution architecture, API design, security, and system integration
Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional or technical teams, escalating matters as needed
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes, including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

3+ years of experience in software, systems, or embedded engineering
3+ years of experience working Java/J2EE
3+ years of experience developing or deploying AI solutions, custom hardware, or high-performance platforms
3+ years of experience with Linux internals, device drivers, and kernel or embedded systems programming
Proficient in C/C++ and Python; familiarity with Go or Rust is a plus
Strong understanding of AI/ML frameworks (PyTorch, TensorFlow, ONNX) and performance/model optimization
Familiarity with hardware-software co-design (ASICs, FPGAs, or SoCs)
Demonstrated skill in performance profiling, benchmarking, and system tuning
Knowledge of distributed systems, cloud/edge computing, and containerization (Docker, Kubernetes)
Understanding of network protocols, security best practices, and scalable API design
Experience with Git, CI/CD pipelines, and modern DevOps practices
Experience working within Agile/Scrum development teams, participating in sprint planning, code reviews, and collaborative solutioning
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10%, on average, based on the work you do and the clients served

Experience developing or deploying AI solutions, custom hardware, or high-performance platforms
Ability to communicate complex technical concepts clearly and effectively
Analytical ability to manage multiple projects and prioritize tasks into actionable work products
Ability to operate independently or with minimal supervision
Excellent written and verbal communication skills
Ability to deliver technical demonstrations

Java Full Stack Developer-Software Engineer II

Job Description