Translate videos and live broadcasts into any language in real time. We are the best-in-class speech-to-speech translation AI. Multilingual voice clone and facial mapping.

Industry: Technology, Information and Media
Company Size: 11-50 employees

Lingopal

Savvy Admin PROD

**About Lingopal **

Live translation is one of the hardest real-time systems problems in media. Latency measured in milliseconds. Language nuance measured in culture. Audio fidelity measured in whether a broadcast feels human or broken.

Lingopal powers live multilingual broadcasts for major sports leagues, broadcasters, and enterprise media companies across the world. We separate audio from live streams, transcribe and translate it in real time, synthesize natural-sounding speech in the listener's native language, and reintegrate it seamlessly — at broadcast scale, with the fidelity that makes the difference between an experience that feels human and one that doesn't.

**The Role **

The hardest part of live translation isn't the translation. It's everything around it.

Pacing that feels natural in one language breaks down in another. Regional dialects — the difference between Mexican Spanish and Portuguese Spanish, the slang and phrasing that generic models flatten into something that sounds technically correct but culturally wrong. Audio recombination where translated voice and separated background audio have to be layered back together without distortion, without artifacts, without the seams showing.

These are the problems competitors haven't solved. They're the reason broadcasters choose Lingopal. And they're what you'll be working on.

As Senior Engineer on our Audio Pipeline team you sit at the intersection of audio DSP, real-time systems, and applied ML — not as a researcher, but as an engineer who ships. You understand the full pipeline from source separation to TTS mix-down, and you have the instincts to know where the quality is being lost and how to get it back.

**What You'll Work On **

- Audio source separation — advance our pipeline for cleanly separating voice from background audio in live broadcast streams, minimizing artifacts and preserving fidelity

- ASR/TTS pipeline — own and optimize the integration of transcription, translation, and speech synthesis services; reduce latency, improve accuracy, and eliminate the seams between stages

- Voice recombination and mix-down — solve the hard problem of layering translated TTS voice back onto separated background audio without distortion or unnatural pacing

- Regional language quality — work on the translation and synthesis quality problems that generic models get wrong; the dialect, slang, and phrasing differences that make the difference between correct and natural

- Pipeline latency — architect for the end-to-end latency targets that live broadcast demands; every stage you optimize compounds

- Observability and quality metrics — build the measurement systems that tell you objectively when audio quality improves or degrades across languages and broadcast conditions

- Competitive differentiation — contribute to the audio translation capabilities that competitors are actively trying to replicate and haven't

**What We're Looking For **

- 5+ years of backend systems engineering experience with depth in audio processing, real-time pipelines, or applied ML

- Experience with audio source separation — you understand the technical approaches, their tradeoffs, and where they break down in production

- Hands-on experience integrating ASR, translation, and TTS services into production pipelines — you've worked with these APIs at scale and know their failure modes

- Audio DSP fundamentals — sample rates, bit depth, mixing, resampling, and the signal processing concepts that underpin audio quality

- Strong understanding of pipeline latency — you can reason about end-to-end latency budgets and know which optimizations are worth making

- Experience building and operating real-time or latency-sensitive systems in production

- The instinct to measure quality objectively — you build evaluation frameworks, not just ship code and hope it sounds better

- Distributed systems fundamentals — you can operate and debug complex multi-stage pipelines at broadcast scale

**Nice to Have **

- Familiarity with Rust, Go, or C++ in a systems or audio processing context

- Experience at an audio or speech AI company — Deepgram, ElevenLabs, Resemble AI, Speechify, or similar

- Background in multilingual NLP or translation quality evaluation — understanding of how regional dialect and cultural context affect translation output

- Experience with FFmpeg, GStreamer, or similar media processing frameworks

- Familiarity with immersive or spatial audio formats

- Prior work on competitive audio differentiation — you've built something in this space that others are trying to catch up to

**Why This Role **

The gap between a translation that is technically correct and one that feels human is where this role lives. It's a hard problem — linguistically, acoustically, and technically. Most companies are stringing together third party APIs and hoping the result is good enough. We're not.

You'll work on the part of the pipeline that determines whether a global audience experiences a broadcast as immersive and natural or as obviously artificial. That's a problem worth solving, and the work you do here will be genuinely difficult to replicate.

**What We Offer **

- Competitive salary aligned with Series A benchmarks

- Meaningful equity — structured to reward long-term ownership and impact

- Full health, dental, and vision coverage

- PTO and Sick Leave

- Direct access to leadership and real influence over technical direction

- The chance to work on audio translation problems that define the category

~~We're establishing our Bay Area engineering headquarters between San Jose and San Francisco. This role is based in-office as we build that presence. ~~

Senior Software Engineer

**About Lingopal **

Live translation is one of the hardest real-time systems problems in media. Latency measured in milliseconds. Language nuance measured in culture. Audio fidelity measured in whether a broadcast feels human or broken.

Lingopal powers live multilingual broadcasts for major sports leagues, broadcasters, and enterprise media companies across the world. When a broadcast goes out in twelve languages simultaneously, our infrastructure is what makes that possible. We're building the team that takes it from working to world-class.

**The Role **

Broadcast infrastructure is unforgiving. When HLS breaks mid-game, millions of viewers feel it. When SCTE-35 markers are dropped, ad revenue disappears. When latency spikes, the experience dies. There are no degraded modes. There is no rollback. It either works or it doesn't.

As Senior Engineer on our Streaming Infrastructure team you will own the protocols and systems that live content runs on — from ingest to delivery, from segmentation to ad insertion. You'll work on problems that most engineers never get close to, at a scale that makes them genuinely hard, for customers whose businesses depend on getting it right every single time.

You've built and debugged streaming systems in production before. You know what a broken manifest looks like at 2am. You're the person who gets called when something no one else can explain starts happening at scale. This is that role.

**What You'll Work On **

- HLS pipeline — own and advance our HLS implementation; debug and resolve segmentation, manifest, and packaging issues that affect live broadcast delivery at scale

- SCTE-35 ad marker insertion — build and maintain reliable ad cue insertion for broadcasters whose revenue depends on it working every time

- RTMP and protocol depth — extend our strong RTMP foundation across additional ingest and delivery protocols as customer requirements evolve

- Low-latency streaming — architect and optimize for sub-second latency across our live streaming pipeline

- Reliability and observability — instrument streaming systems with OpenTelemetry, build the alerting and runbooks that catch problems before customers do

- Protocol debugging at scale — be the engineer who can reason about what's happening inside a stream when standard tooling runs out of answers

- Customer-facing reliability — work directly with engineering leadership on the streaming issues that large broadcast customers are escalating

**What We're Looking For **

- 5+ years of backend systems engineering experience with meaningful depth in streaming infrastructure

- Production experience with HLS — you've debugged manifest timing issues, segmentation failures, and packaging edge cases in live environments

- SCTE-35 experience — you understand ad marker insertion, cue tone handling, and what happens when signals get dropped or misread

- Deep familiarity with RTMP, MPEG-TS, and the broader streaming protocol landscape

- Experience building sub-second latency systems that have to work under real broadcast conditions

- Strong distributed systems fundamentals — you can reason about what's happening across a complex pipeline when something goes wrong

- Familiarity with FFmpeg, GStreamer, or similar media processing frameworks

- Experience with Kubernetes and operating production services at scale

- The instinct to instrument everything — you believe that if you can't measure it, you can't fix it

**Nice to Have **

- Familiarity with Rust, Go, or C++ in a systems context

- Experience with SRT, WebRTC, or emerging low-latency streaming protocols

- Background at a CDN, broadcast technology company, or streaming platform — Akamai, AWS Elemental, Wowza, Mux, or similar

- Experience with KEDA or event-driven autoscaling on Kubernetes

- Familiarity with digital rights management or content protection in broadcast contexts

**Why This Role **

Streaming infrastructure at this scale is a rare problem. Most engineers spend their careers on systems where a few seconds of latency is acceptable and a brief outage is recoverable. Here, neither is true.

You'll own systems that power live moments — championship games, major broadcasts, events that millions of people are watching right now. The work is technically deep, the ownership is real, and the impact is immediate. If you've been looking for a role where your expertise in streaming protocols actually matters, this is it.

**What We Offer **

- Competitive salary aligned with Series A benchmarks

- Meaningful equity — structured to reward long-term ownership and impact

- Full health, dental, and vision coverage

- PTO and Sick Leave

- Direct access to leadership and real influence over technical direction

- The chance to work on genuinely hard streaming infrastructure problems at broadcast scale

~~We're establishing our Bay Area engineering headquarters between San Jose and San Francisco. This role is based in-office as we build that presence. ~~

**About Lingopal **

Live translation is one of the hardest real-time systems problems in media. Latency measured in milliseconds. Language nuance measured in culture. Audio fidelity measured in whether a broadcast feels human or broken.

Lingopal powers live multilingual broadcasts for major sports leagues, broadcasters, and enterprise media companies across the world. We're building the team that takes our platform from working to world-class — across every layer of the stack.

**The Role **

This is a full stack role with a clear arc.

You'll start by doing something most engineers never get the opportunity to do — establish the visual and interaction standard for an entire product from the ground up. That means building a design system that becomes the foundation every engineer builds on, raising the UI/UX bar across customer-facing surfaces, and creating the patterns that make the product feel intentional rather than assembled.

After that foundation is set, you move into the backend. Our platform runs real-time audio and video pipelines at broadcast scale — genuinely hard systems problems where your contributions have immediate and measurable impact. You won't be the engineer who maintains the design system forever. You'll be the engineer who built it, then moved on to harder problems.

If you're a strong full stack engineer who has real design sensibility and is tired of being pigeonholed on one side of the stack, this is the role that changes that.

**What You'll Work On **

- Design system — establish and own our component library and design system; set the visual and interaction standards the product runs on

- UI/UX review — be the engineering voice for product quality; spot the wall of text where there should be a layout, the friction where there should be flow

- Frontend engineering — own customer-facing surfaces in Next.js and React TypeScript; build experiences that feel as good as they work

- AI-augmented design — use tools like v0, Cursor, and Figma AI to produce design-quality output and move faster than a traditional design-engineering workflow

- Backend pipeline work — contribute to our real-time audio and streaming infrastructure as the frontend foundation matures

- Full stack ownership — move fluidly across the stack as priorities shift; you don't stop at the API boundary

**What We're Looking For **

- 5+ years of full stack engineering experience with genuine depth on both sides of the stack

- Strong Next.js and React TypeScript experience — this is the core of our frontend stack

- Backend systems experience — you've built and operated production services, not just consumed APIs

- Design sensibility — you have real taste, think in layouts not just components, and are bothered by things that don't look or feel right

- Design system experience — you've built or meaningfully contributed to a component library before and have opinions about how it should work

- AI tooling fluency — you've already figured out how to use AI tools to move faster and produce better output; you're not waiting for permission

- The ability to make visual decisions independently — you don't need a designer to tell you what good looks like

- Comfort moving between frontend and backend work as priorities shift — this is a full stack role in the truest sense

**Nice to Have **

- Familiarity with Tailwind CSS and modern styling approaches

- Experience with Astro or similar modern frontend frameworks

- Familiarity with Bun as a JavaScript runtime

- NextAuth or similar authentication library experience

- Figma proficiency — you can design and prototype, not just implement

- Experience with real-time or latency-sensitive backend systems

- Prior experience at an early-stage startup where you owned multiple layers of the stack

- Familiarity with Rust, Go, or C++ in a systems context

**Why This Role **

Most full stack roles trend toward one side of the stack over time. This one is honest about the arc — start with a high-ownership frontend challenge, then move into genuinely hard backend systems work. You get to do both, in that order, with real impact at each stage.

The design system you build will define how every customer experiences Lingopal. The backend work you move into will run at broadcast scale for audiences around the world. That's a range of impact most engineers don't get at a single company.

**What We Offer **

- Competitive salary aligned with Series A benchmarks

- Meaningful equity — structured to reward long-term ownership and impact

- Full health, dental, and vision coverage

- PTO and Sick Leave

- Direct access to leadership and real influence over product and technical direction

- A clear growth path from frontend ownership into backend systems work

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~~We're establishing our Bay Area engineering headquarters between San Jose and San Francisco. This role is based in-office as we build that presence. ~~

Senior Full Stack Engineer

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