Qureos Mentor

NXP Semiconductors

<div>
 We are seeking a
 
 Full Stack Developer
 
 to support the design, development, and delivery of
 
 enterprise‑grade web and GenAI‑enabled applications
 
 . This role will focus on building secure, scalable, and maintainable solutions aligned with organizational architecture standards, security policies, and compliance requirements.
 
 
 The ideal candidate has strong full‑stack engineering fundamentals, experience working in
 
 large, cross‑functional enterprise teams
 
 , and exposure to integrating
 
 generative AI and chatbot capabilities
 
 into production systems.
 
 
 
 Key Responsibilities
 
 
 
 
 Enterprise Application Development
 
 
 
 <ul>
 <li>
 Design, develop, and enhance enterprise‑scale web applications using approved front‑end and back‑end technologies
 </li>
 <li>
 Contribute to architecture‑aligned solutions that support scalability, performance, reliability, and maintainability
 </li>
 <li>
 Develop reusable, modular components consistent with enterprise development standards
 
 
 </li>
 </ul>
 
 Front‑End &amp; User Experience
 
 
 
 <ul>
 <li>
 Build and maintain responsive user interfaces using HTML, CSS, JavaScript, React or Angular (1.8)
 </li>
 <li>
 Ensure consistent user experience across browsers, devices, and accessibility standards
 </li>
 <li>
 Collaborate with UX/UI designers and product owners to translate business requirements into technical solutions
 
 
 </li>
 </ul>
 
 Back‑End &amp; API Development
 
 
 
 <ul>
 <li>
 Design and implement secure, scalable RESTful APIs and backend services using Python, Django, Flask, or FastAPI
 </li>
 <li>
 Apply best practices for error handling, logging, performance tuning, and service resiliency
 </li>
 <li>
 Integrate enterprise authentication and authorization mechanisms as required
 
 
 </li>
 </ul>
 
 GenAI &amp; Intelligent Solutions
 
 
 
 <ul>
 <li>
 Develop and integrate GenAI‑powered features, including chatbot solutions, using LangChain and LLM services
 </li>
 <li>
 Collaborate with AI, data, and platform teams to ensure responsible and secure AI usage
 </li>
 <li>
 Ensure AI integrations meet enterprise governance, compliance, and data privacy standards
 
 
 </li>
 </ul>
 
 Data Management
 
 
 
 <ul>
 <li>
 Design and interact with SQL and NoSQL databases, ensuring data integrity, performance, and security
 </li>
 <li>
 Apply enterprise data handling standards, including auditing, access controls, and encryption where applicable
 
 
 </li>
 </ul>
 
 Cloud &amp; Deployment Collaboration
 
 
 
 <ul>
 <li>
 Support deployment of applications on AWS or Azure in alignment with enterprise cloud standards
 </li>
 <li>
 Work with DevOps teams on CI/CD pipelines, environment configuration, and release processes
 </li>
 <li>
 Participate in environment readiness activities across Development, Test, and Production environments
 
 
 </li>
 </ul>
 
 Quality, Security &amp; Operations
 
 
 
 <ul>
 <li>
 Follow secure coding practices and contribute to application security, vulnerability remediation, and compliance efforts
 </li>
 <li>
 Participate in code reviews, testing, and defect resolution activities
 </li>
 <li>
 Troubleshoot production issues and support ongoing application maintenance and enhancements
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 Front‑End: HTML, CSS, JavaScript, React or Angular (1.8)
 </li>
 <li>
 Back‑End: Python, Django / Flask / FastAPI
 </li>
 <li>
 GenAI: LangChain, chatbot development, LLM integration
 </li>
 <li>
 Databases: SQL, NoSQL
 </li>
 <li>
 Cloud Platforms: AWS or Azure
 </li>
 <li>
 Version Control &amp; Collaboration: Git, Agile/Scrum workflows
 
 
 </li>
 </ul>
 
 Must‑Have Competencies
 
 
 
 <ul>
 <li>
 Proven experience as a Full Stack Developer in structured development environments
 </li>
 <li>
 Strong understanding of enterprise application design principles
 </li>
 <li>
 Experience building secure, API‑driven applications
 </li>
 <li>
 Ability to work within defined architecture, security, and compliance frameworks
 </li>
 <li>
 Strong analytical, troubleshooting, and documentation skills
 </li>
 <li>
 Effective communication and collaboration with cross‑functional enterprise teams
 
 
 </li>
 </ul>
 
 Good‑to‑Have Skills
 
 
 
 <ul>
 <li>
 Familiarity with AI / Machine Learning concepts, particularly Generative AI
 </li>
 <li>
 Exposure to enterprise DevOps practices, CI/CD pipelines, and cloud governance
 </li>
 <li>
 Experience working with large codebases and multi‑team delivery models
 </li>
 <li>
 Knowledge of performance monitoring, logging, and enterprise support processes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related discipline (or equivalent experience)
 </li>
 <li>
 3+ years of hands‑on experience in full stack development
 </li>
 <li>
 Experience working in enterprise, regulated, or large‑scale environments is preferred
 
 
 </li>
 </ul>
 More information about NXP in India...
 
 
</div>

Software Engineer

<div><div>Job Title:** Lead Machine Learning Software Engineer
 
 
Company:** NXP Semiconductors Netherlands B.V.
-
 
 
Job Summary
 
 
As a Lead Machine Learning Software Engineer at NXP Semiconductors Netherlands B.V., you will be a key driver in the design, development, and deployment of cutting-edge machine learning solutions for embedded systems. You will lead a team of talented engineers, guiding the architectural decisions and technical execution of ML software that enhances the intelligence and performance of NXP's next-generation semiconductor products.
-
 
 
Job Responsibilities
 
 
<ul><li>Lead the entire machine learning software development lifecycle, from concept and research to deployment and ongoing optimization, for embedded platforms.
</li><li>Architect, design, and implement robust, efficient, and scalable machine learning algorithms and models, with a focus on deep learning, computer vision, and signal processing.
</li><li>Drive the technical direction and strategy for ML software development within the team, ensuring alignment with product roadmaps and company objectives.
</li><li>Mentor and provide technical guidance to a team of ML software engineers, fostering a collaborative and innovative development environment.
</li><li>Conduct thorough research and evaluation of new ML techniques, frameworks, and tools to identify opportunities for innovation and improvement.
</li><li>Develop and implement rigorous testing, validation, and deployment strategies for ML models to ensure accuracy, reliability, and security in embedded environments.
</li><li>Contribute to the continuous improvement of development processes, tools, and best practices within the ML software engineering team.
</li><li>Present technical concepts, progress, and results to internal stakeholders and potentially external partners.
</li></ul>-
 
 
Job Qualifications
 
 
<ul><li>Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field.
</li><li>8+ years of professional experience in machine learning software development, with a strong focus on embedded systems.
</li><li>Proven experience in leading technical teams or projects, demonstrating strong leadership and mentoring abilities.
</li><li>Expertise in designing, training, and deploying deep learning models (e.g., CNNs, RNNs, Transformers) using frameworks such as TensorFlow, PyTorch, or similar.
</li><li>Proficiency in programming languages such as C/C++ and Python, with a deep understanding of optimized code for resource-constrained environments.
</li><li>Strong understanding of machine learning principles, algorithms, and data structures.
</li><li>Experience with hardware-aware ML optimization techniques (e.g., quantization, pruning, model compression).
</li><li>Familiarity with various embedded platforms, microcontrollers, and real-time operating systems (RTOS).
</li><li>Experience with version control systems (e.g., Git) and CI/CD pipelines.
</li><li>Excellent problem-solving skills, analytical thinking, and attention to detail.
</li><li>Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
</li><li>Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment. 
</li></ul></div> 
More information about NXP in India...
#LI-2734</div>

Lead Machine Learning Software Engineer

<div>Position- Software Engineer, Runtime
Hyderabad, India
<div>This is what you are responsible for
 
<ul><li>Design and develop the application and system software for a cutting-edge AI silicon
</li><li>Ability to work in a fast-paced environment collaborating with various teams locally and globally
</li><li>A passion for problem-solving and the ability to consider the bigger picture during feature development
</li><li>Define feature requirements with customers and teams, gathering feedback to improve products.
</li><li>Ensure clear understanding of requirements, documenting implementation strategies.
</li><li>Review and test features to prevent issues, conducting impact analysis to mitigate potential problems.
</li></ul></div><div>Necessary Qualifications:
 
<ul><li>BTech/MTech in CS or ECE
</li><li>4+ years&rsquo; experience with C/C++11 with strong fundamentals in concurrent coding.
</li><li>Highly skilled in using debugging tools like gdb, valgrind, WinDbg, address sanitizer, or similar.
</li><li>Familiarity with security protocols like TSL/RSA is preferred.
</li><li>Working experience with Rust is an advantage. 
</li></ul></div> 
More information about NXP in India...
#LI-2734</div>

G3 - Staff Engineer - Runtime

Join NXP Semiconductors and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

NXP Semiconductors

About Company

Software Engineer

Lead Machine Learning Software Engineer

G3 - Staff Engineer - Runtime