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Speech LLM Engineer, Voice-First Agentic AI Experience: Not Available to Not Available years Location: Ho Chi Minh City, Vietnam Skills: Python, PyTorch, TensorFlow, ASR, TTS, speech understanding, audio-language models, multimodal LLMs, MLOps, NVIDIA AI technologies, NeMo, NeMo Agent Toolkit, Nemotron, Riva, NIM, Voice Chat Company Overview NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As an NVIDIAN, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we advance innovation and help customers build the next generation of Sovereign AI platforms. Our Speech team seeks a Senior Speech LLM Engineer. This role involves developing spoken language and multimodal AI systems that power secure, scalable, and sovereign voice-first AI solutions. It supports enterprises, governments, and regional ecosystems in deploying and operating AI systems. These systems maintain control over data, models, infrastructure, and regulatory requirements. What you'll be doing: Develop and advance speech, audio, and multimodal LLMs that power next-generation voice-first agentic AI experiences. Leverage AI-native and agentic workflows to accelerate research, development, evaluation, and deployment of AI systems. Design and deploy AI models and platforms with solid consideration for AI safety, security, privacy, and Sovereign AI requirements. Establish and drive benchmarking frameworks for voice agents, including speech quality, reasoning, tool use, latency, reliability, and user experience. Lead technical initiatives, mentor engineers, and foster a One Team culture through close collaboration across research, engineering, product, and customer teams. What we need to see: Master's degree in Computer Science, AI, Electrical Engineering, or related field (or equivalent experience). 2+ years of experience building and deploying speech, multimodal AI, or LLM systems. Strong Python skills and experience with PyTorch or TensorFlow. Hands-on experience with ASR, TTS, speech understanding, audio-language models, or multimodal LLMs. Experience building production ML pipelines and MLOps infrastructure. Proven technical leadership and mentoring experience. Strong problem-solving, communication, and teamwork skills. Ways to stand out from the crowd: Hands-on experience with NVIDIA AI technologies such as NeMo, NeMo Agent Toolkit, Nemotron, Riva, NIM, and Voice Chat. Experience building voice-first agentic AI systems with reasoning, tool use, and multimodal capabilities. Strong expertise in speech AI, including ASR, TTS, speech-to-speech, and conversational AI. Experience benchmarking AI agents for quality, latency, reliability, safety, and user experience. Familiarity with Sovereign AI, enterprise AI deployment, and data governance requirements. Widely considered to be one of the technology worlds most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.