Top Tech Jobs & Startup Jobs

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

The role involves building automation solutions, enhancing CI/CD processes, implementing observability, managing FinOps, and developing AI capabilities on AWS Bedrock, while also providing hands-on experience to students through the Co-Op Program.

The attorney will provide legal support on consumer products and technology, focusing on contract negotiation, regulatory compliance, and advising product and engineering teams.

Lead the architecture, development, and delivery of high-performance audio software platforms, focusing on DSP, embedded systems, and algorithm optimization.

The Senior Qualitative Consumer Researcher at Bose will lead qualitative research to guide product strategy, positioning, and consumer understanding across marketing and brand initiatives. The role involves collaboration with various stakeholders, executing generative research, and translating insights into actionable recommendations for business decisions.

The co-op will support product certification processes, improve documentation, manage tools, and assist with lab testing while collaborating with engineers and compliance teams.

The Engineering Program Manager leads cross-functional teams to deliver engineering projects, aligning product requirements, managing budgets, and improving operational efficiency in consumer electronics.

Lead McIntosh engineering operations and multidisciplinary teams, ensuring project compliance, execution, technical excellence, and resource management for product lifecycle.

As an HVAC Technician, you'll maintain and repair mechanical systems, ensure building performance using controls, and support project collaborations while adhering to maintenance schedules.

Lead the On-The-Go DSP team delivering DSP systems for wearables and portable audio. Own technical direction, architecture, and delivery commitments; drive DSP infrastructure, reuse, and scalability; collaborate with product, firmware, systems, research, and UX teams; coach and grow experienced DSP engineers; remove barriers and prioritize work to enable execution and integration of ML-based audio technologies into production.