Algorithm Developer Battery Competence Center

Flower Infrastructure Technologies AB

⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn’t shining and the wind isn’t blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟Who We Are Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Senior Quantitative Researcher. 👩‍💻 About The Role: As a Senior Quantitative Researcher, you will play a defining role in shaping the future of the Wholesale team within the Asset Optimization domain. You will be part of a small, dynamic group mastering short-term energy markets such as Intraday Continuous and Day-Ahead. You will be at the heart of a fast-evolving trading environment, where data, algorithms, and market dynamics intersect. Your mission: transform ideas into scalable trading strategies, guide the exploration of data and signals, and ensure that our research translates into profitable, risk-aware execution. This is a hands-on, creative, and technical role. You will lead and collaborate with exceptional colleagues to discover new signals, design trading hypotheses, and turn them into executable models all while setting the direction of our research and backtesting platform. What You’ll Do: Design the next generation of trading strategies: Develop and refine algorithmic trading approaches across wholesale energy markets, balancing profitability with robustness and compliance. Develop LOB-aware strategies: Design and refine trading strategies suited for continuous double auction (limit order book) markets such as Intraday Continuous, optimizing order placement, execution, and liquidity interaction. Lead research and model development: Identify opportunities through data exploration, design models needed to execute trading strategies, and contribute to a culture of rigorous validation and risk evaluation. Engineer research excellence: collaborate with developers to evolve our research platform and backtesting infrastructure, ensuring reproducibility, scalability, and fast iteration from prototype to production. Integrate risk and performance analyses: Embed risk management principles into every stage of model design and evaluation, ensuring our strategies align with our risk and regulatory mandates. Explore and expand data horizons: Investigate new data sources, signals, and market features that can unlock trading opportunities or enhance decision-making. Mentor and elevate the team: Share your expertise with other researchers and developers, and help cultivate a culture of intellectual curiosity, rigor, and collaboration. Work across the stack: Contribute to research, data pipelines, backtesting processes, and model deployment workflows, ensuring your work integrates smoothly into production systems. Who You Are:  8+ years of experience designing, implementing, and validating algorithmic trading models, with proven hands-on experience in the energy sector. Deep understanding of market microstructure, price formation, and execution dynamics, with an ability to translate theory into profitable, risk-conscious strategies. Strong programming skills (Python preferred) and comfortable working across the full research stack, from data engineering to backtesting and model deployment.  You enjoy digging into messy datasets, asking the right questions, and validating your assumptions with evidence.  Skilled at guiding less experienced colleagues, fostering technical and analytical growth within the team. You value feedback, and take ownership from inception to production. You thrive in an environment that moves fast and evolves constantly, always exploring new data sources, statistical methods, and machine learning techniques to improve performance and adapt to evolving markets. You combine analytical rigor with a proactive, impact-driven mindset, always looking for ways to make your work count.  Direct experience in energy trading, especially algorithmic execution in intraday continuous markets, or in developing strategies tailored to the dynamics of energy systems.  📍 Location Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have over 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the People & Talent Partner, Head of Wholesale & Strategic Analytics, Product Owner and VP of Engineering. We look forward to hearing from you! --- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.

Lyten Ett AB

Job Scope High level purpose of function. A Vision Automation Engineer in a cell manufacturing company plays a key role in developing, optimizing, reverse-engineering, and maintaining machine vision and optical inspection systems to ensure safe, reliable, and efficient operations. They are responsible for programming, troubleshooting, and improving cameras, lighting configurations, and image processing algorithms, supporting both legacy production line re-commissioning and new vision system installations. The role also includes ensuring accurate data transfer, system connectivity, and smooth communication with PLCs, SCADA, and upper-level MES platforms to enable inline defect traceability, dimensional inspection, and digital integration. Close collaboration with production, engineering, and maintenance teams is required to identify and implement solutions that improve quality, throughput, and equipment uptime. A strong focus is placed on continuous improvement, safety, and scalability to meet the growing demand for electric vehicle battery production. Key Responsibilities Overall areas of responsibilities and activities Key responsibilities include (but are not limited to) Participate in HAZOP sessions and ensure compliance with process safety, operational safety, and environmental standards relating to equipment control and programming. Responsible for the FATs of the equipment (Project timeline dependent). Lead vision system integration and optical calibration during equipment commissioning and line re-starts (Project timeline dependent). Develop and reverse-engineer the vision inspection systems to be implemented in the production and logistics equipment in the factory, as well as the relevant specifications and documentation. Author and review engineering design documentation (Specifications, Functional design, Logic diagrams, Test Cases, Test Records). Train and mentor new engineers, and educate other support functions on machine vision, optics, and quality inspection gates. Code review and test of suppliers' vision software and algorithmic work within the projects to validate specified defect detection thresholds (Gauge R&R) and to ensure the quality and reliability of the data transferred from the equipment to the upper-level systems. Participate in R&D activities for piloting of new technologies and their suitability to production environments. Define and improve the factory blueprint, general specifications and ways of working in collaboration with the extended automation and digitalization teams. (Project timeline dependent). Contribute to technical improvements, development and optimization of software processes internally in the automation team The role requires regular presence on the production floor, with a minimum of approximately 25% of working hours spent on-site. Depending on project needs (such as line re-commissioning), there may be periods where up to 100% of working hours are required on the shop floor. Develop and maintain machine vision and image processing programming standards. Guide and mentor colleagues to industrial best practices, focussing on growth and development. Complete supplementary tasks as seen fit by management to effectively utilize time and resource for the benefit of the business. Requirements Educational background and previous experience required for the role Qualifications and Experience Bachelors Degree in Electronics, Mechatronics, Electrical, Automation, Robotics, Software Engineering or similar. Minimum of 3 years of relevant work experience within Industrial Automation in process-driven or discrete manufacturing industries such as: Battery Cell, Automotive, Chemical, Paper, Semiconductors, Pharma, Food, Warehouses, etc. Experience of working with industrial camera systems, optical components, and lighting techniques, including the selection, configuration, and calibration of camera hardware for manufacturing inspection and process control applications Experience in the design, configuration, and deployment of machine vision systems including cameras, lighting, and vision software platforms such as Cognex, Halcon, or equivalent, with experience integrating vision outputs into PLC, SCADA, and MES environments via OPC connectivity. Experience developing and optimising image processing pipelines and vision algorithms for applications such as defect detection, pattern recognition, and dimensional verification, with familiarity with industrial communication protocols for vision system integration. Experience in writing technical documentation including inspection requirement specifications, algorithm validation reports, vision system configuration records, functional design, UML, test cases, and test records. Experience with image processing software and programming tools relevant to industrial vision applications, such as Python, C++, OpenCV, or equivalent vision libraries, with the ability to develop, test, and optimise vision algorithms for real-time manufacturing environments Experienced continuous improvement and root cause analysis. Specific skills Strong knowledge of mechanical, electrical, hydraulic, and pneumatic systems. Knowledge of cybersecurity best practices for manufacturing systems. Troubleshooting skills with diagnostic equipment. Ability to document technical problems concisely. Excellent English skills, both written and oral, are essential. Basic Swedish and other language skills are a plus. You should have good communication skills and be able to work in close collaboration with colleagues from many different teams. Ability to work within varying environments including clean-rooms and dry-rooms, while wearing appropriate PPE. Comfortable operating in high-profile, international, and high-pressure environments. A genuine technical interest and passion about working within production is highly valued.

Justera Group AB

About Justera Group Justera Group AB is a leading Swedish IT consulting firm with great experience specializing in building high-performing technology teams and delivering end-to-end IT solutions. Led by dynamic female executives, Justera Group focuses on helping businesses harness the power of digital technologies to continuously evolve in today’s rapidly changing economy. The company has deep expertise in IT consultancy, software development, and recruitment services, providing clients with purpose-driven, well-trained consultants who consistently deliver efficient and effective results. Justera Group manages the entire talent lifecycle, from hiring to ongoing management, ensuring the right fit for each project on time and within budget. With their strong commitment to quality, collaboration, and client success, Justera Group is a trusted partner for technology innovation across Sweden. About the Role: We are seeking a HW Electrical & Electronics Engineer – Expert level to play a key role in shaping next-generation Battery and Electric Drive systems. The role operates cross-functionally, collaborating closely with internal business units to translate future customer and product requirements into robust electrical and power electronics solutions for the coming years. This position combines deep technical expertise with strategic ownership, supplier responsibility, and mentorship within the organization. Key Responsibilities: Design, simulate, and develop power electronics systems, including AC/DC, DC/DC, and DC/AC converters. Develop and apply control algorithms for power electronics, particularly for grid inverters (e.g. SVPWM, SPWM). Work with power systems, including grid filters, switchgear, grid safety concepts, and compliance with relevant regulations. Develop and document electrical and electronic components, including simulation and verification activities. Define technical requirements for components and manage supplier deliverables and work distribution. Act as the operational owner of supplier relationships, including evaluation, selection, and recommendation of suppliers. Evaluate and introduce new components, ensuring alignment with internal standards and product needs. Secure strong cross-functional alignment across engineering, business, and product stakeholders. Manage complex components or a large portfolio of less complex components. Contribute to and execute the Product Strategy Roadmap, aligning technical development with long-term business and technology strategies. Act as a technical coach, mentor, and subject-matter expert, supporting teams and projects across the organization. Requirements: Minimum 10+ years of relevant experience in HW Electrical & Electronics Engineering, with a strong focus on power electronics. Hands-on experience in power converter design and simulation within industrial, automotive, marine, or similar domains. Strong knowledge of grid-connected systems, inverter control techniques, and electrical safety/regulatory standards. Proven experience working cross-functionally and managing complex technical interfaces. Strong background in supplier interaction, technical requirement definition, and component ownership. Recognized expert in the field, with the ability to lead technically, influence strategy, and mentor others. Strong T-shaped profile, combining deep technical expertise with a solid system-level and business understanding. Ability to clearly articulate technical value and connect engineering decisions to overall product and business strategy. What We Offer: A dynamic and innovative workplace driving advancements in cutting-edge robotic technologies The opportunity to collaborate with talented cross-functional teams on meaningful and impactful projects Competitive compensation and comprehensive benefits package A supportive culture that fosters continuous learning, growth, and professional development Flexible hybrid working model for an optimal work-life balance 25 days of annual leave to recharge and relax An annual wellness allowance of 3,500 SEK to support your health and wellbeing