1840 Embedded Software Engineer Audio Level jobs in New York,NY

Sr. API Engineer

Subway Restaurants

Bridgeport, CT 06606

$119,200-$149,000/yr

~ 1 hr 13 min OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

5 or more years of hands-on production software development experience
Demonstrated experience building and operating RESTful and/or GraphQL APIs at scale
Strong proficiency in one or more of: JavaScript/TypeScript (Node.js), Java, or C#
Experience with serverless architectures on AWS (Lambda, API Gateway, DynamoDB, SQS/SNS)
Solid understanding of integration patterns: event-driven architecture, webhooks, async messaging, and pub/sub
Experience integrating with third-party platforms and vendor APIs
Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent)
Experience with CI/CD pipelines and source control workflows (Git, GitHub Actions, Azure DevOps)
Strong debugging, root-cause analysis, and production incident management skills
Bachelor's degree or higher in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
Location: Shelton, CT (USA) and travel less than 10%

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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

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Manager, Software Project Management (New York, NY - US)

Energy Solutions

New York, NY 10279

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Audio And Lighting Engineer at littlefield

Parklife

Brooklyn, NY 11217

$30/hr

~ 26 min Onsite

Proven A1 experience in a 200–300 cap room
Strong familiarity with DJ setups and dance party workflows
Comfortable with digital routing and live troubleshooting
Experience with Behringer X32 (or similar digital consoles)
Must be available Friday and Saturday nights, often until 4AM
Minimum 6 shifts/month

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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