Software Engineer Salary at Aaaa Aaa BETA

Seeking a skilled AI Scale-Out Software Engineer to build and optimize our clients scale-out fabric (TT-fabric) for distributed inference and training infrastructure. The ideal candidate will have expertise in deep learning, distributed systems, and low-level networking. Responsibilities -Design, develop, and maintain TT-fabric, a low-level networking library for AI processors built on top of Ethernet protocol -Design and implement efficient distributed training systems for large-scale deep learning models -Optimize network communication for multi-node AI processor clusters -Tune system performance for inference and training of key AI models -Work in the Metalium team and integrate scale-out APIs into the Programming Model -Work with AI model builder and researchers to improve both the scale out infrastructure and as well as model design Experience & Qualifications -Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field. -Proven experience in low-

Seeking a skilled AI Scale-Out Software Engineer to build and optimize our clients scale-out fabric (TT-fabric) for distributed inference and training infrastructure. The ideal candidate will have expertise in deep learning, distributed systems, and low-level networking. Responsibilities -Design, develop, and maintain TT-fabric, a low-level networking library for AI processors built on top of Ethernet protocol -Design and implement efficient distributed training systems for large-scale deep learning models -Optimize network communication for multi-node AI processor clusters -Tune system performance for inference and training of key AI models -Work in the Metalium team and integrate scale-out APIs into the Programming Model -Work with AI model builder and researchers to improve both the scale out infrastructure and as well as model design Experience & Qualifications -Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field. -Proven experience in low-

Seeking a skilled AI Scale-Out Software Engineer to build and optimize our clients scale-out fabric (TT-fabric) for distributed inference and training infrastructure. The ideal candidate will have expertise in deep learning, distributed systems, and low-level networking. Responsibilities -Design, develop, and maintain TT-fabric, a low-level networking library for AI processors built on top of Ethernet protocol -Design and implement efficient distributed training systems for large-scale deep learning models -Optimize network communication for multi-node AI processor clusters -Tune system performance for inference and training of key AI models -Work in the Metalium team and integrate scale-out APIs into the Programming Model -Work with AI model builder and researchers to improve both the scale out infrastructure and as well as model design Experience & Qualifications -Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field. -Proven experience in low-

Seeking a skilled AI Scale-Out Software Engineer to build and optimize our clients scale-out fabric (TT-fabric) for distributed inference and training infrastructure. The ideal candidate will have expertise in deep learning, distributed systems, and low-level networking. Responsibilities -Design, develop, and maintain TT-fabric, a low-level networking library for AI processors built on top of Ethernet protocol -Design and implement efficient distributed training systems for large-scale deep learning models -Optimize network communication for multi-node AI processor clusters -Tune system performance for inference and training of key AI models -Work in the Metalium team and integrate scale-out APIs into the Programming Model -Work with AI model builder and researchers to improve both the scale out infrastructure and as well as model design Experience & Qualifications -Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field. -Proven experience in low-

Seeking a skilled AI Scale-Out Software Engineer to build and optimize our clients scale-out fabric (TT-fabric) for distributed inference and training infrastructure. The ideal candidate will have expertise in deep learning, distributed systems, and low-level networking. Responsibilities -Design, develop, and maintain TT-fabric, a low-level networking library for AI processors built on top of Ethernet protocol -Design and implement efficient distributed training systems for large-scale deep learning models -Optimize network communication for multi-node AI processor clusters -Tune system performance for inference and training of key AI models -Work in the Metalium team and integrate scale-out APIs into the Programming Model -Work with AI model builder and researchers to improve both the scale out infrastructure and as well as model design Experience & Qualifications -Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field. -Proven experience in low-

Job Description A candidate with experience in developing products and assays for NGS applications will become a key contributor to develop products for the Forensic Genomics community. Candidates with a proven track record developing assays and reagents from concept to commercialization will be considered. As a successful candidate, you will work in a dynamic, team-oriented environment including bioinformatic scientists and software engineers. The successful candidate will love doing good science in the laboratory with a great group of scientists as well as analyzing a lot of data with a strong focus on the customer experience. Key responsibilities include: Senior member of the team directing, mentoring, and contributing to experimental design and execution of experiments, and data analysis of current development projects. Analysis of complex datasets with the support of bioinformatic scientists. Contribute to the overall success of projects; anticipate problems to minimize issues and

Responsibility Perform remediation to mitigate in-scope vulnerabilities identified in the environment Skills and Responsibilities Patch management: Apply critical security patches and updates to Windows Server and Windows client operating systems promptly to address known vulnerabilities. Strong experience in Windows systems administration and infrastructure management. In-depth knowledge of Windows operating systems, Active Directory, Group Policy, and other Windows-specific technologies. Familiarity with vulnerability management processes, tools, and frameworks, such as CVE, CVSS, and Common Vulnerability Scoring System (CVSS). Configuration hardening: Implement security best practices on Windows Server systems by configuring settings related to user accounts, network access, file permissions, and registry keys to minimize attack vectors. Remediation planning and execution: Knowledge of Windows patch management methodologies and tools, including Windows Server Update Services (WSUS),

Must have experience with Qualcomm Snapdragon Job Summary We are seeking a skilled and motivated Embedded Software Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining software applications that meet the needs of our clients. This role requires a strong understanding of software development methodologies and the ability to work collaboratively in a fast-paced environment. The Embedded Software Engineer will also be involved in testing and debugging software to ensure high-quality deliverables. Responsibilities Design, develop, and implement software solutions based on project requirements. Conduct software testing to identify bugs and ensure functionality meets specifications. Utilize test automation tools to streamline the testing process and improve efficiency. Collaborate with cross-functional teams to gather requirements and provide technical expertise. Write clean, maintainable code using programming languages such a