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Aerospace • Information Technology • Cybersecurity • Defense • Manufacturing
The SLS Associate Chief Engineer - Propulsion will lead engineering efforts for NASA's Space Launch System, ensuring quality and safety in propulsion subsystems, mentoring engineers, and solving complex challenges in design and development.
Top Skills:
AerospaceEngineeringProject ManagementPropulsion SystemsTechnical Leadership
Aerospace • Information Technology • Cybersecurity • Defense • Manufacturing
As an Associate Software Engineer-Hardware Emulation, you'll develop software models for hardware emulation, collaborate with hardware engineers, and tackle software in virtual environments, using technologies like KVM and QEMU.
Top Skills:
ArtifactoryAzure DevopsCC++FpgasGitlabHdlKvmLinuxMavenQemuWindows
Aerospace • Information Technology • Cybersecurity • Defense • Manufacturing
The role involves leading the design, development, and testing of software models for hardware emulation, collaborating with hardware engineers, and ensuring project requirements are met. The candidate will also handle debugging and contribute to innovative solutions.
Top Skills:
ArtifactoryAzure DevopsCC++GitlabKvmMavenQemu
Join a cutting-edge and well-funded hardware startup in Silicon Valley as an Deep Learning and Large Language Model Performance Architect. Our mission is to reimagine silicon and create Risc-V based Accelerated computing platforms that will transform the industry. You will have the opportunity to work with some of the most talented and passionate engineers in the world to create designs that push the envelope on performance, energy efficiency and scalability. We offer a fun, creative and flexible work environment, with a shared vision to build products to change the world.
Job Responsibility
* Workload Analysis - Analyzing the performance of important workloads, tuning our current software, and proposing improvements for future software.
* Performance modeling and analysis - develop analytical model for target systems and analyze the performance bottleneck. make recommendations to the implementation teams. Working with cross-collaborative teams of deep learning software engineers and hardware architects to develop innovative solutions. Adapting to the constantly evolving AI industry by being agile and excited to contribute across the codebase.
* Pre-silicon and post-silicon performance validation
Qualification
* MS or PhD in relevant discipline (CS, EE, Math) or equivalent experience with 5+ years working experiences
* In-depth knowledge of deep learning models or large language models
* Strong background in computer architecture or AI software stack/compilers
* Strong C/C++ programming and hardware modeling skills
* Strong problem solving and analytical thinking skills
* Performance modeling and analysis background a plus
* GPU programming experience (CUDA) a plus
* LLVM/MLIR development experience a plus
* Good communication and organizational skills
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
