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We are seeking a high-caliber Firmware Lead to join our Engineering team at Gradera. In this role, you will be the technical anchor for the firmware squad, responsible for translating high-level architectural visions into robust, executable low-level designs (LLD). You will lead the design and development of firmware solutions on NXP-based hardware platforms, ensuring seamless real-time data acquisition and integration with cloud-based Machine Learning (ML) platforms. We are looking for a seasoned expert who can work independently without any supervision, taking full ownership of the firmware lifecycle from hardware abstraction to cloud-edge synchronization.

Our Core Tech Stack

Embedded & OS

• NXP SoCs/MCUs: i.MX, LPC, and Kinetis series.
• Yocto Project: Custom layers, recipes, BitBake, and kernel configuration for Linux.
• RTOS Platforms: Deterministic performance, task scheduling, and interrupt handling.

Development & Integration

• Languages: Mandatory proficiency in C/C++ and C# (.NET on embedded targets/IoT).
• Communication: MQTT, WebSockets, CAN, UART, SPI, and I2C.
• Cloud & ML: Azure IoT Hub, AWS IoT Core, and data streaming via Kafka or Kinesis.

Infrastructure & Security

• Security: Secure boot, encryption, and device authentication.
• DevOps: Containerization (Docker) and CI/CD for firmware.

Key Responsibilities

• Architectural Ownership: Convert high-level blueprints into detailed technical designs for NXP-based systems, ensuring optimal performance across hardware and software layers.
• Autonomous Execution: Lead the end-to-end development of firmware modules, making critical technical decisions and resolving complex blockers without supervision.
• ML Pipeline Leadership: Collaborate with Data Engineering and ML teams to architect streaming and batch ingestion pipelines, ensuring data is correctly structured for ML training.
• Cloud-Edge Synchronization: Design secure and reliable transmission protocols for device-to-cloud communication, focusing on edge-to-cloud integration.
• Standards Enforcement: Act as the guardian of engineering excellence, implementing security best practices (secure boot, TLS) and ensuring high code quality.
• Technical Mentoring: Act as a technical beacon for the squad, conducting rigorous code reviews and mentoring senior engineers in Yocto Linux and RTOS concepts.
• Strategic Troubleshooting: Lead the debugging of critical firmware issues across hardware and software layers, including OTA update implementations.

Preferred Qualifications

• 8 to 10 years of professional experience in embedded firmware development.
• Proven ability to work independently and lead technical squads in a fast-paced environment.
• Expert-level mastery of the Yocto Project and RTOS constraints.
• Deep proficiency in C/C++ and C# for embedded systems.
• Demonstrated track record of delivering low-level designs for edge-to-cloud ML systems.

Highly Desirable

• Industry Experience: Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is highly regarded.
• Experience with Edge AI / TinyML and industrial protocols (Modbus, OPC-UA).
• Knowledge of Cybersecurity standards for secure device provisioning.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Job Description for AEM Autodesk-

Responsibilities :

Work with product owners to form technical solutions that meet requirements

Collaborate with architects, designers, product team, other developers and teams, as well as participate in code reviews

Help design and implement components that integrate with internal and external systems

Take ownership of, be a subject matter expert and maintain complex modules

Specific, actionable and responsible project updates in an Agile environment

Engineer mobile and web experiences with exceptional performance

Requirements :

5+ years industry experience with AEM (Adobe Experience Manager)

1+ years of experience with Contentful 

Understanding and experience developing web services using AWS 

Understanding and experience of server-side web development using Java

Experience developing efficient and reliable JavaScript (ES6/2015), both client and server-side and Javascript testing frameworks such as 

Jasmine, mocha.js, Jest

Experience creating maintainable CSS

Experience with Object-Oriented and Functional programming paradigms

Understand fundamental elements of good software architecture

Working understanding of the latest web APIs and standards (HTML 5, CSS 3, ECMAScript 2015)

Experience with continuous integration tools, such as Jenkins

3 or more years of relevant programming experience

2 or more years experience with Adobe AEM (CQ) and related technologies

1 or more years of experience working in a modern web application stack (React, Backbone, Angular, Ember, etc.)

Bachelor's degree in computer science, Software Engineering, or equivalent work experience

Proficiency in spoken and written English 

• Creating and managing ETL/ELT pipelines based on requirements
• Build PowerBI dashboards and manage datasets needed.
• Work with stakeholders to identify data structures needed for future and perform any transformations including aggregations.
• Build data cubes for real-time visualisation needs and CXO dashboards.

Required Tech Skills

• Microsoft PowerBI & DAX
• Python, Pandas, PyArrow, Jupyter Noteboks, ApacheSpark
• Azure Synapse, Azure DataBricks, Azure HDInsight, Azure Data Factory

Analysis/audits inbound/outbound calls, emails, and customer surveys to identify areas of service delivery that did not meet pre-established performance standards within the CS support /Sales teams

Provides structured and timely recommendations; verbal and/or written feedback to the advisors.

• Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
• Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
• Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
• Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
• Proficient with various development methodologies like waterfall, agile/scrum and iterative
• Good Interpersonal skills and excellent communication skills for US and UK based clients