
51 - 200 employees
Founded 2008
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
Instituto Hardware BR HBR is a Brazilian non-profit technology institute that promotes hardware-focused research, development and innovation (PD&I), professional training, and entrepreneurship. Founded in 2008 and headquartered in the Brasília BioTIC tech park with units in Campinas, Salvador and Manaus, HBR provides R&D and product engineering services across advanced hardware, microelectronics, embedded systems, firmware and software, AI, optics/photonic and RF, IoT, FPGA, X‑ray and precision mechanics, while running incubator and startup support programs and capacity-building initiatives.
🕒 July 28
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2008
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
Instituto Hardware BR HBR is a Brazilian non-profit technology institute that promotes hardware-focused research, development and innovation (PD&I), professional training, and entrepreneurship. Founded in 2008 and headquartered in the Brasília BioTIC tech park with units in Campinas, Salvador and Manaus, HBR provides R&D and product engineering services across advanced hardware, microelectronics, embedded systems, firmware and software, AI, optics/photonic and RF, IoT, FPGA, X‑ray and precision mechanics, while running incubator and startup support programs and capacity-building initiatives.
• Provide technical leadership to developers, data scientists, and AI engineers • Define deployment strategies for the AI Center, including resource allocation and timelines • Ensure the integration of AI solutions with legacy systems and IT infrastructure • Design and implement machine learning, deep learning, and natural language processing (NLP) models • Optimize algorithms for high performance in big data and cloud computing environments • Develop data pipelines for model training and validation • Apply Agile methodologies (Scrum, Kanban) to track goals and deliverables • Prepare technical and management reports for stakeholders • Ensure compliance with AI security and ethics standards, including Brazil’s LGPD • Promote research into emerging technologies such as generative AI and edge computing • Collaborate with universities and strategic partners within the innovation ecosystem • Develop team capabilities through mentoring and technical training • Develop test plans for the functional and performance validation of AI systems • Conduct unit, integration, and field testing • Identify and fix bugs while optimizing code for improved performance • Work collaboratively with hardware, software, and mechanical engineering teams to ensure complete system integration • Participate in project meetings for technical alignment and requirements definition
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field • Advanced English proficiency • Extensive experience in software development, with a focus on AI/ML projects • Experience leading technical teams and managing complex projects • Experience deploying solutions in the cloud (AWS, GCP, Azure) and integrating them with high-availability systems • Knowledge of privacy and ethics regulations applicable to AI, such as Brazil’s LGPD • Proficiency in Python, R, and SQL, as well as frameworks such as TensorFlow, PyTorch, and scikit-learn • Experience with REST/gRPC APIs, microservices, and containers (Docker, Kubernetes) • Knowledge of SQL/NoSQL databases and big data tools such as Spark and Hadoop • Familiarity with DevOps/MLOps and CI/CD tools such as GitLab and Jenkins • Availability to travel • Postgraduate degree or AI certifications, such as AWS Machine Learning, Google AI, or Microsoft AI Engineer, preferred • Project management certifications, such as PMP or Scrum Master, preferred • Knowledge of edge computing and IoT for medical or industrial applications, preferred • Proficiency in HDL (VHDL/Verilog) and synthesis tools (Vivado, Quartus, ModelSim), preferred
• Medical insurance • Flexible working hours • Life insurance • Dental insurance • Fuel allowance • Birthday day off • Maternity and paternity benefits • Wellhub (formerly Gympass) – Caju Mais • Conexa Saúde – Caju Mais • Meal allowance • Marriage benefit • Travel availability required for this 100% remote position
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