Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Software Engineer III - Sr. Java Full Stack Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work you'll do/Responsibilities
Join our AI and Systems Co-Design team, pioneering high-performance software and hardware technologies for AI and next-generation consumer devices. As a Consultant, you'll help design, build, and optimize foundational tools and applications that power cutting-edge AI platforms and smart devices. You'll collaborate cross-functionally, tackle large-scale technical challenges, and deliver innovative solutions with global impact.
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.
The successful candidate would possess these skills:
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
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Qualifications
Required
6+ years of experience in software, systems, or embedded engineering.
6+ years of experience working Java/J2EE.
6+ years of experience developing or deploying AI solutions, custom hardware, or high-performance platforms.
6+ 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.
Preferred
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.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,750 $171,250.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
