Java Full Stack Developer-Software Engineer II
- 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 and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- 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
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- 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 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 and industries/sectors you serve
- Experience developing or deploying AI solutions, custom hardware, or high-performance platforms.
- Proven ability to communicate complex technical concepts clearly and effectively.
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations
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