SoundHound

HQ
Santa Clara
Total Offices: 9
345 Total Employees
Year Founded: 2005

Jobs at SoundHound

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Recently posted jobs

6 Days AgoSaved
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Natural Language Processing • Software • Conversational AI
Leads enterprise conversational AI projects, customer integrations, and technical delivery. Designs software architectures, guides engineering teams, manages releases, develops Linux shell scripts, coordinates client and internal teams, translates use cases into requirements, and supports deployment, training, documentation, and operations. Tracks project metrics, risks, client expectations, and business value while advising R&D on customer needs.
10 Days AgoSaved
In-Office
Beijing, CHN
Natural Language Processing • Software • Conversational AI
Lead technical integrations of SoundHound's Voice AI and AI Agents with automotive partners. Act as primary technical contact, troubleshoot and escalate issues, translate partner needs into technical specs, coordinate cross-functional teams, manage project plans and timelines, and drive platform improvements while maintaining partner relationships and documentation.
20 Days AgoSaved
In-Office or Remote
Bengaluru, Bengaluru Urban, Karnataka, IND
Natural Language Processing • Software • Conversational AI
As a Cognitive Implementation Engineer, you'll develop cognitive functionalities, configure and test Amelia modules, and collaborate on technical solutions.
26 Days AgoSaved
In-Office or Remote
Toronto, ON, CAN
Natural Language Processing • Software • Conversational AI
Design, build, and operate highly available, scalable infrastructure on GCP; automate CI/CD and IaC; implement monitoring and observability; drive incident response and post-mortems; optimize performance, cost, and reliability; eliminate operational toil and lead compliance initiatives.
28 Days AgoSaved
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Natural Language Processing • Software • Conversational AI
Lead design and development of scalable Java-based microservices for conversational AI. Drive architecture, optimize performance, integrate LLMs/NLP, ensure cloud-native deployments, mentor engineers, and improve CI/CD and real-time processing.