**What you will do (responsibilities)** **- Learn to solve ambiguous technical problems** - Work on innovation projects where requirements evolve and exploration is part of the job - Help transform early-stage ideas and immature technology into solutions that can run reliably in real environments - Break down problems into small experiments and iteratively validate solutions - Help implement prototypes and Proofs of Concept (PoCs) and evolve them into robust, maintainable software - Learn how to define metrics and testing strategies to evaluate results **- Explore and apply new techniques** - Stay up to date with emerging approaches in AI and Computer Vision - Try new models, tools or techniques and evaluate their usefulness in real scenarios - Combine different ideas (classical CV + deep learning, multiple models in a pipeline, etc.) - Identify when something is “cool” versus when it’s “useful”, and help close that gap **- Build solid software foundations** - Write clean, maintainable, and well-structured code - Follow good engineering practices: modularity, readability, testing basics - Contribute to code reviews and learn from feedback - Collaborate in an Agile environment: planning, teamwork and continuous improvement - Help productionize solutions: packaging, reproducibility, basic performance considerations, and stability over time **- Share and grow with the team** - Participate in internal knowledge-sharing sessions and discussions - Support documentation and small demos of what you learn/build - Optionally contribute to content like short articles, demos, or talks as you grow - Help document technical decisions so experiments can become reusable building blocks

• Be resolutive in uncertain environments • Break down complex, ambiguous problems into small iterations • Prototype quickly, validate hypotheses, and discard approaches efficiently • Make pragmatic decisions aligned with time, budget and constraints • Define experiments and metrics to prove what works • Study and apply recent techniques in AI / CV / 3D • Combine tools and approaches creatively to explore solutions beyond the obvious • Build Proofs of Concept to tackle problems not fully solved in the market • Turn prototypes into production-ready solutions (robustness, maintainability, monitoring) • Propose improvements in architecture, pipelines and workflows • Contribute with internal sessions, demos, mentoring, documentation • Participate in external knowledge sharing: articles, talks, workshops, conferences • Evaluate immature technologies critically (trade-offs, limitations, feasibility) • Reduce technical risk through iterative validation • Help transform “cool demos” into reliable systems that can be maintained over time • Write clean, maintainable, production-ready code • Apply strong engineering practices (architecture, testing, performance) • Participate actively in code reviews and technical discussions • Collaborate in an Agile environment with strong ownership and teamwork

• We're on a mission to transform how organizations manage workforce spending. • For over a decade, PEX has built and evolved solutions that help small and medium-sized organizations manage payments-related activities more efficiently. • You are a Senior Software Engineer who thrives at the intersection of Fintech and AI innovation. • You’ll join at an exciting time—this isn’t a role where you’ll be handed tickets and told what to build. • You are a customer-focused engineer with an ownership mentality and the ability to act independently to lead features through all stages of our SDLC. • You thrive in environments where you collaborate from ideation through deployment and ship code that impacts hundreds of thousands of users.

• Translate the architectural vision and platform principles into system and software architecture design specifications and integration blueprints. • Define and maintain system decomposition, component responsibilities, and inter-process communication interfaces. • Drive the evaluation and adoption of technologies that support modularity, reusability, and scalability. • Serve as the technical lead for complex design and integration challenges across software, hardware, and vehicle network layers. • Review and validate design proposals from development teams for technical soundness and architectural alignment. • Lead technical deep dives and design reviews across functional areas such as Applications, SW platform and Hardware. • Ensure seamless interaction and data exchange between IIX subsystems and adjacent vehicle domains. • Collaborate with Systems Engineering and Delivery Units to align architecture deliverables with project milestones. • Support integration readiness by identifying dependencies, risks, and optimization opportunities early in the lifecycle. • Provide hands-on guidance during system bring-up, debugging, and performance tuning phases. • Partner with cross-functional teams including Brand Engineering, Systems Engineering, and Security to align technical decisions with product and compliance goals. • Engage with Tier 1 suppliers and technology vendors to ensure interoperability and adherence to interface specifications. • Contribute to cross-brand forums and architecture working groups to promote standardization and knowledge sharing. • Serve as a mentor and technical resource for engineers and architects, fostering growth within the architecture team. • Support the definition and enforcement of architecture review processes, design quality gates, and compliance checklists. • Identify and mitigate technical risks related to performance, scalability, safety, and maintainability. • Ensure solutions comply with relevant safety and regulatory standards (ISO 26262, UNECE R155/R156). • Contribute to maintaining architectural traceability from requirements to implementation and validation. • Monitor emerging technologies in embedded systems, Android OS, and connected car ecosystems. • Propose improvements to architecture methodologies, tools, and documentation standards. • Contribute to capability-building efforts by developing reusable design assets and best practices. • Foster a culture of technical excellence and innovation within the architecture and engineering community.