About the Role

Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability.

We're looking for a Senior Platform Engineer to own the API and infrastructure layer for voice workloads. You'll build the real-time WebSocket and HTTP APIs that developers use to ship voice experiences, design autoscaling for latency-sensitive streaming workloads, and ensure our multi-provider voice platform is reliable enough for production voice agents handling millions of calls.

This is a foundational hire on a small, high-impact team. Voice APIs have fundamentally different infrastructure requirements than text-based inference — bidirectional audio streaming, stateful connections, tight latency SLOs, and complex multi-model routing. You'll define how developers interact with Together's voice platform as we grow from early customers to the default infrastructure for voice AI.

• Own the real-time API layer (WebSocket + HTTP streaming) that powers Together's voice platform.
• Design autoscaling and orchestration for voice workloads running on tens of thousands of GPUs.
• Build the developer experience — APIs, observability, and tooling — for a fast-growing product area.
• Work with production voice customers (contact centers, AI agents, communication platforms) to ship what they actually need.
• Join a small, early-stage team with outsized impact on a new product line.

Responsibilities

• Build and harden real-time WebSocket and HTTP streaming APIs for STT and TTS — including connection lifecycle management, backpressure, error handling, and reconnection, at the reliability bar needed for production voice agents.
• Design and ship autoscaling for voice model endpoints that handles bursty, real-time traffic patterns — accounting for concurrent connection limits, streaming state, and hard latency ceilings.
• Implement voice-specific API features: word-level alignment, speaker diarization in realtime, audio format flexibility (g711/mulaw for telephony, PCM, WebRTC formats), pronunciation controls, and multi-context WebSocket support.
• Build voice-specific observability — latency breakdowns, audio quality signals, and dashboards that help both the team and customers debug issues.
• Own multi-model normalization across our model partners (Cartesia, Deepgram, Rime, and others), ensuring consistent API behavior regardless of the underlying provider.
• Collaborate with the ML engineering side of the team on the interface between the API layer and the model serving stack, ensuring latency and reliability requirements are met end-to-end.
• Contribute to developer experience — API design, documentation, integration cookbooks, playground and showcasing how best-in-class voice agents are built.
• Lay the groundwork for multiple new products down the line.

Requirements

• 5+ years of experience building large-scale, real-time distributed systems and API services.
• Deep expertise in real-time streaming infrastructure — WebSocket server architecture, Server-Sent Events, bidirectional streaming, connection multiplexing, and stateful protocol design.
• Expert-level programming in TypeScript and Python; experience with Rust is a plus.
• Strong distributed systems fundamentals: load balancing, autoscaling, rate limiting, and traffic shaping for latency-sensitive workloads.
• Experience with Kubernetes — including custom autoscalers, resource management, and health checking for stateful services.
• Strong product sense — you care about API ergonomics and think about what developers building voice apps actually need.
• Comfort working on a small, early-stage team where you'll wear multiple hats and move fast.
• Experience with audio or media protocols (WebRTC, g711, PCM encoding) is a strong plus.
• Familiarity with ML model serving infrastructure and how inference engines work is a plus — you'll interface with the serving layer regularly.
• Full-stack experience (React, Next.js) is a nice-to-have for contributing to developer-facing tooling.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $260,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

Discord is looking for a Senior Software Engineer to build high-performance, cross-platform client software that powers experiences for 200+ million users worldwide. You'll work on core libraries that run across Windows, Mac, Linux, Android, and iOS—writing native code using platform-specific APIs to provide optimal experiences wherever people use Discord.

As a Senior Software Engineer on our A/V Client team, you'll tackle challenging performance problems, design systems that scale across diverse hardware configurations, and build the foundation that enables real-time experiences for millions of concurrent users.

What you'll be doing:

• Build core libraries that power Discord's client experiences across desktop, browser, and mobile platforms (Rust, C++, and Typescript)
• Optimize performance end-to-end across all supported platforms
• Design and run experiments with proper success criteria and statistical rigor to validate improvements
• Debug complex issues across diverse hardware and platform configurations
• Collaborate with cross-functional teams to ship features that delight millions of users

What you should have:

• 4+ years building large-scale, cross-platform software (Windows, macOS, Android, iOS, or game console development)
• Strong Rust or C++ skills with deep understanding of memory management, multi-threading, and low-level optimization
• Experience building performance-critical applications where milliseconds matter

Bonus points:

• Experience designing experiments that prove (not just suggest) improvements
• Experience with real-time media applications (audio/video, game streaming, etc.)
• Hands-on experience with WebRTC, SDP, SRTP, or DTLS protocols
• Familiarity with audio/video codecs (Opus, H.264, AV1, etc.) and their corresponding quality measurements (POLQA, PSNR, VMAF, etc.)
• Proficiency with CPU, GPU, and memory profiling—you can identify bottlenecks, optimize critical paths, and manage resource constraints effectively
• You have built or contributed to open source projects

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). For this role, the hiring manager would like folks to be in the office 1 day a week. Relocation assistance may be available. 

The US base salary range for this full-time position is $196,000 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

As a Robotics Software Engineer, you will be at the forefront of designing advanced algorithms and systems to optimize the efficiency of our robotic fleet. Your work will be critical in ensuring seamless communication and operation within cutting-edge automation technologies.

Responsibilities:

• Design multi-agent pathfinding (MAPF) algorithms to prevent fleet deadlocks.
• Build low-latency communication protocols for Robot-to-Cloud and Robot-to-Robot data exchange.
• Develop cloud dashboards for fleet monitoring and teleoperation handoffs.

Required Skills:

• Expertise in distributed systems and IoT protocols (MQTT, WebRTC, DDS).
• Experience with fleet management or warehouse automation software.
• Strong background in operations research and graph algorithms.

We are seeking a talented Multimodal AI Systems Architect to develop and optimize AI systems that seamlessly integrate vision and audio models. This role focuses on enhancing our voice-to-voice interactions and multimodal retrieval capabilities, ensuring our systems are efficient and innovative.

Responsibilities:

• Integrate vision encoders and audio-native models into core agent reasoning loops.
• Optimize streaming latency for voice-to-voice AI interactions.
• Architect multimodal RAG systems capable of retrieving insights from videos and PDFs.

Qualifications:

• Experience with Whisper, CLIP, and multimodal LLM integration.
• Knowledge of streaming architectures and WebRTC.
• Expertise in cross-modal alignment.

About the role

HeyGen is building the AI video platform that Fortune 500 enterprises run their content operations on. Our strategic customers are not looking for another SaaS tool. They want production AI systems that plug into their LMS, their CRM, their HR stack, and their brand controls, and that their employees and end-users actually use every day. Closing the gap between what our APIs can do and what each enterprise needs them to do is the job.

We're hiring our first Forward Deployed Engineers to own that gap.

As a Forward Deployed Engineer on Strategic Accounts, you'll embed with our most technically complex enterprise customers and ship production AI video systems alongside their engineering teams. You'll own the last mile of delivery: discovery, technical scoping, architecture, build, rollout, and the eval-driven feedback loop back into HeyGen's product and model roadmap.

You'll operate autonomously, partner directly with customer engineering leaders and VPs, and represent HeyGen at the technical frontier. Typical questions you'll help answer look like:

• "How do we let 40,000 customer service reps generate branded training videos in twelve languages without going through our marketing team?"
• "How do we embed a live avatar into our product onboarding flow so every new user gets a conversational walkthrough in under 20 milliseconds of latency?"
• "How do we make HeyGen safe to deploy across a regulated pharma's field medical team with full avatar consent, audit logging, and subprocessor controls?"

You'll work side by side with our Product, Engineering, Sales, and Customer Success teams. Your field insights will directly influence what HeyGen ships next.

San Francisco or Los Angeles. Hybrid. Expect 25–40% travel to customer sites.

What you'll do

• Own end-to-end enterprise deployments. Lead technical discovery, architecture, and production rollout for our most complex strategic accounts. Integrate HeyGen cleanly into customer CRM, LMS, HR, and marketing stacks.
• Build on the HeyGen API and LiveAvatar. Ship real-time conversational agents, session-based lifecycles, and WebRTC integrations inside client applications. Produce reusable reference implementations, SDK wrappers, webhook integrations, and eval harnesses that later get pulled back into the platform.
• Run the hard escalations. Act as the senior technical owner on production-blocking issues. Advocate for the customers’ technical needs on streaming, latency, and integration failures, and coordinate cross-functional fixes with engineering.
• Close the product feedback loop. Translate messy real-world requirements into structured product input. Identify patterns across custom builds that should be generalized into the platform, and partner with core engineering to productize them.
• Be a trusted technical voice for customers. Explain model behavior, performance trade-offs, and roadmap to non-technical executives and to customer engineering teams in equal measure.

What success looks like

In your first year, we'll measure your impact on time to production for strategic accounts, expansion revenue driven by the accounts you own, the number of reusable patterns you contribute back to the platform, and the quality of the eval and feedback signal you send into our product organization.

What we're looking for

• 3+ years in software engineering, solutions architecture, or a similar builder role. You're comfortable shipping production-grade code in Python and JavaScript/Node.js.
• Hands-on experience building with LLMs or other generative AI systems in production, including familiarity with prompt engineering, agent development, and evaluation frameworks. You understand how model behavior affects product experience.
• Working knowledge of API design, webhooks, and cloud infrastructure.
• The ability to move fluidly between a customer engineering standup and a VP-level business conversation, and to explain technical trade-offs to both audiences without losing either.
• High agency under ambiguity. You're energized by building a function that doesn't exist yet rather than joining one that does.

Nice to have

• WebRTC, real-time media, or low-latency streaming experience.
• Experience at an FDE, solutions engineering, or post-sales engineering org at a frontier AI or enterprise SaaS company.
• Experience as a technical founder or early engineer at a startup. We especially want to hear from you.

A note on fit

If you don't check every box above but you're excited about building the forward-deployed function at an AI-first company, please apply. We care more about trajectory and taste than a clean line-by-line match.

Salary Range:

$175,000 – $225,000 annual base salary

Total compensation includes cash compensation, equity, and benefits.

Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us at HeyGen and be part of a team that's making visual storytelling accessible to all!

About the role

We're building the infrastructure that lets people talk to Claude—real-time, bidirectional voice conversations that feel natural, responsive, and safe. This is foundational work for how millions of people will interact with AI.

The Voice Platform team designs and operates the serving systems, streaming pipelines, and APIs that bring Anthropic's audio models from research into production across Claude.ai, our mobile apps, and the Anthropic API. You'll work at the intersection of real-time media, low-latency inference, and distributed systems—building infrastructure where every millisecond of latency is felt by the user.

We partner closely with the Audio research team, who train the speech understanding and generation models, and with product teams shipping voice experiences to users. Your job is to make those models fast, reliable, and delightful to talk to at scale.

What you'll do

• Design and build the real-time streaming infrastructure that powers voice conversations with Claude—ingesting microphone audio, orchestrating model inference, and streaming synthesized speech back with minimal latency
• Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness
• Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers
• Own the audio transport layer—codecs, jitter buffers, adaptive bitrate, packet loss recovery—so conversations stay smooth across unreliable networks
• Build observability and quality-measurement systems for voice: latency distributions, audio quality metrics, interruption handling, and turn-taking accuracy
• Partner with Audio research to move new model architectures from experiment to production, and feed real-world performance data back into research
• Collaborate with mobile and product engineering on client-side audio capture, playback, and the end-to-end user experience

You may be a good fit if you

• Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale
• Have shipped production systems where latency is measured in tens of milliseconds and users notice when you miss
• Are comfortable working across the stack—from transport protocols and serving infrastructure up to the APIs product teams build on
• Are results-oriented, with a bias toward flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly
• Are comfortable with ambiguity—voice is a fast-moving space, and you'll help define the architecture as we learn what works

Strong candidates may also have experience with

• Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale
• Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP
• Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure
• Telephony, live streaming, video conferencing, or voice assistant platforms
• Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, AAudio)
• Working alongside ML researchers to productionize models—speech experience is a plus but not required

Representative projects

• Driving time-to-first-audio below human perceptual thresholds by co-designing the serving pipeline with the Audio research team
• Building a streaming inference orchestrator that interleaves speech recognition, LLM reasoning, and speech synthesis with overlapping execution
• Designing the voice mode API surface for the Anthropic API so developers can build their own voice agents on Claude
• Implementing graceful barge-in and interruption handling so users can cut Claude off mid-sentence naturally
• Instrumenting end-to-end audio quality metrics and building dashboards that catch regressions before users do

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Position Summary

As a Backend Engineer at HeyGen, you'll be at the forefront of building the core systems and infrastructure that power our products and services. Your expertise will drive the development and optimization of scalable, reliable, and efficient backend systems that cater to our growing user base.

Key Responsibilities

• System Development: Design, develop, and deploy scalable and efficient backend systems.
• API Development: Create and maintain robust and secure RESTful APIs to serve front-end applications and third-party integrations.
• Database Management: Design and manage database schemas, ensure efficient data storage, and optimize queries for maximum performance.
• Collaboration: Work closely with frontend developers, product managers, and designers to deliver feature-rich products.
• Performance Monitoring: Monitor backend systems for performance, errors, and anomalies. Implement fixes and improvements as needed.
• Code Quality: Maintain high code quality through regular code reviews, pair programming, and writing unit and integration tests.
• Continuous Learning: Stay updated with the latest backend technologies and best practices to ensure HeyGen remains at the forefront of technology.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in backend development.
• Proficiency in python, golang, c++ or java.
• Experience with relational and NoSQL databases, such as PostgreSQL, MySQL, MongoDB.
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Strong knowledge of API design and development.
• Knowledge of best practices in security and data protection.

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, or a related field.
• Experience with container orchestration tools like Kubernetes.
• Experience with Graphics API like OpenGL, Vulkan, etc.
• Experience with Streaming protocol like WebRTC.
• Experience with Machine Learning Infrastructure especailly computer vision.
• Familiarity with microservices architecture.
• Prior experience in a startup or fast-paced tech environment.

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment.
• Opportunities for professional growth and advancement.
• Collaborative culture that values innovation and creativity.
• Access to the latest technologies and tools.

Salary Range
$170,000 – 220,000 annually
Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.