Jobs at Innovas Technologies LLC

The Senior Manager, Member Experience role at NSTXL leads the Member Experience team within the National Security Technology Accelerator, serving as a strategic bridge between government mission needs and industry innovators. Key responsibilities include translating classified government requirements into actionable opportunities for members, facilitating teaming partnerships across defense and commercial sectors, and providing direct supervision to specialists while ensuring strict adherence to security protocols. This position is appealing for its mission-driven focus on accelerating national security innovation and offers a collaborative environment where professionals can shape the ecosystem connecting the Department of Defense with private-sector solutions. The role is based onsite in the DC Metro area with up to 20% travel required.

The Warehouse Supervisor role involves leading operational processes at a distribution center in Puerto Rico to ensure timely receipt, storage, and distribution of goods. Key responsibilities include managing inventory control through cycle counts, coordinating order picking and delivery, and enforcing safety and security protocols. The position requires directing and motivating a team to maintain high productivity and a positive work environment. This opportunity appeals to candidates seeking professional growth within a collaborative and inclusive culture that values innovation and sustainable impact. The role is based on-site at the Carolina distribution center.

This entry-level R&D Software Engineer role focuses on VLSI physical design within NVIDIA's hardware innovation team. The position involves developing advanced C++ algorithms to optimize chip performance, power consumption, and frequency through techniques like gate-level sizing, buffering, and incremental place and route. Key responsibilities include inventing new optimization engines that fuse independent design tools and collaborating directly with design teams to deploy solutions. The role is appealing due to the high intellectual freedom to explore cutting-edge processes without legacy constraints, the opportunity to work at the intersection of machine learning and hardware, and the chance to see software contributions directly realized in world-class AI hardware. The position is based on-site and targets recent graduates with a Master's or PhD in Electrical Engineering or Computer Science.