- Mountain View, California, United States
- Hybrid
- Full-time · Senior
- $221K–$253K per year
- 3+ years
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Senior Software Engineer focused on building and enhancing serving solutions for Gemini models and infrastructure for AI capabilities.
The US base salary range for this full-time position is $221,450 - $253,000 + 15.00% bonus target + equity + benefits determined by role, level, and location.
Design, implement, and validate new algorithms across multiple domains including networking, distributed data fusion, resource management, distributed electronic warfare, and distributed Command and Control (C2).
Senior Position: $121,933 - $182,900
Are you a student eager to apply your theoretical knowledge and fresh perspectives to real-world challenges? At Saab, we believe that innovation thrives on new ideas, and your master thesis project could be the spark that ignites our next technological breakthrough. Your role We recognize the immense value that students bring to our company. Your academic rigor, combined with your enthusiasm for cutting-edge technology, allows you to approach problems with a unique and insightful lens. At Saab, you'll have the opportunity to collaborate with experienced engineers and specialists, gaining invaluable practical experience while making a tangible contribution to our growth and development. In this master thesis we want to explore how a drone can autonomously track and follow another drone. The drone will have limited sensor information, probably only a vision sensor. Questions to answer includes what algorithm or machine learning system is needed to successfully implement the pursuit. If the tracked drone disappears from the view, how can the tracker search for and find the tracked drone again? Which processing power is needed on the tracker? Background Several Saab products incorporate artificial intelligence (AI), including machine learning algorithms for applications such as target detection and tracking. Developing these algorithms is often complex, time-consuming, and costly, requiring specialized expertise in AI architecture design, training, optimization, and evaluation. Automating this process could significantly reduce development costs, accelerate innovation, and enable the exploration of AI solutions that might otherwise remain undiscovered. Thesis Objective The objective of this thesis is to investigate and develop an AI system capable of autonomously designing, training, and optimizing other AI systems for given problems. The proposed system, referred to as the AI Creator, will generate candidate AI architectures and solutions tailored to a specific task. These candidates will be trained, evaluated, and compared using predefined performance metrics. Based on the evaluation results, the AI Creator will iteratively refine its designs to discover increasingly effective solutions. A key aspect of the thesis is to explore recursive self-improvement, where the AI Creator itself undergoes optimization. Multiple variants of the AI Creator may be generated and evaluated based on the quality, efficiency, and performance of the AI solutions they produce. The most successful variants are selected and further improved through successive iterations. Expected Outcome The thesis aims to demonstrate the feasibility of an automated, self-improving AI development framework capable of: Generating AI solutions for predefined problems. Automatically training, testing, and benchmarking candidate solutions. Iteratively improving AI architectures and their performance. Exploring recursive optimization of the AI Creator itself. Evaluating the potential benefits, limitations, and computational costs of the approach. The long-term vision is to establish a foundation for AI-driven AI development, where increasingly capable AI systems can be created with progressively less human intervention. We provide the support and guidance you need to translate your theoretical knowledge into practical solutions. Join us and become a driving force behind Saab's technological advancements! This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply. Kindly observe that this is an ongoing recruitment process and that the position might be filled before the closing date of the advertisement. What you will be a part of Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here.
Design, develop, and operate scalable, secure, and reliable enterprise applications that drive business success.
The annual base salary range for this position is $130,138 - $178,650. SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is $130,138 - $198,500.
Design, development, and validation of radar embedded software features, including algorithm design, implementation, testing, and performance evaluation.
Responsible for the algorithm system design and implementation of an educational AI Agent, evolving it from single-lesson decision making to cross-lesson planning and accountability.
TU Delft · Posted Nov 5, 2026
Conduct research on decision tree policies for control and monitoring of stochastic systems, publish in leading venues, and develop open-source tools.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - Stock
Software Engineer I to join an established technology team to design and build software components of services or platforms, utilizing cloud-based services, databases, and server-less technologies.
The base salary range for this role is $92,500 - $160,000.00.
Design and develop AI-based solutions for retail, leveraging machine learning and computer vision to drive decision-making.