Top Tech Jobs & Startup Jobs in Chicago, IL

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

Lead and build broker-dealer and transfer agent compliance programs for US operations: create policies and controls, oversee AML and transfer-agent rules, manage filings and regulatory exams, conduct audits and risk assessments, provide training, investigate incidents, and report to executive leadership and the Board.

Responsible for the entire sales cycle, generating and closing new opportunities, building relationships with business owners, and contributing to the sales organization. Ideal for those with startup experience.

Responsible for acquiring new customers and expanding relationships within existing Fortune 1000 accounts, managing the full sales cycle from prospecting to closing.

Manage data management and analytics projects, utilizing agile practices. Coordinate with cross-functional teams to ensure successful delivery and mitigate risks.

Rocket Lawyer invites passionate individuals to join their talent community for potential future job opportunities. Interested candidates should submit their resume and cover letter outlining expertise and career aspirations.

The Senior Sales Executive develops sales strategies, manages relationships with channel partners, and drives revenue in the industrial and cybersecurity sectors.

Lead backend Java development and architecture for enterprise applications. Design and deliver scalable, resilient microservices and APIs, mentor developers, lead technical decisions, support production incidents, and implement CI/CD and cloud-native solutions on AWS.

Lead and execute StarCompliance's data and AI strategy: build a governed data foundation, deliver production-grade LLM and ML capabilities (RAG, semantic search, vector DBs), establish MLOps, and grow a cross-functional Data & AI team aligned with product and business priorities in a regulated financial environment.

Evaluate life insurance applicants end-to-end, focusing on mortality risk. Order and review underwriting requirements, enter medical history data, finalize cases, and make advanced risk-selection decisions while meeting productivity, quality, and performance standards.