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Skills: Backend Engineering, C++, Rust, Go, gRPC
San Francisco, California, United States · Hybrid
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Rime is a foundation modeling company that builds voice AI for enterprises running customer experiences at scale. Our models are purpose-built for high-volume conversational deployments, engineered for the accuracy, perf…
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San Francisco, California, United States · On-site
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Develop and maintain platform APIs, infrastructure, and low-latency streaming speech systems. Work across the full stack to support the rollout of next-generation TTS and end-to-end speech models.
Requires 5+ years of IC engineering experience with proficiency in at least one low-level language like C++, Rust, or Go. Candidates must possess strong systems-level thinking and the ability to design clean, loosely coupled interfaces.
Rime is a foundation modeling company that builds voice AI for enterprises running customer experiences at scale. Our models are purpose-built for high-volume conversational deployments, engineered for the accuracy, performance, and deployment flexibility that production environments actually demand.
We started from a different premise than the rest of the field: build voice AI for human connection, not slop. Before we trained a single model, we built our own corpus: full-duplex, studio-quality conversational speech of normal people, recorded and annotated by linguists. It's why our models are unparalleled in naturalism, and it's why enterprises pick Rime when pilots need to make it to production.
We're hiring a generalist Software Engineer to work across Rime's stack — platform APIs, systems, infrastructure, and wherever the company needs to move next. Your exact focus will evolve by design: we're building toward a next-generation architecture (gRPC-first, heterogeneous model serving, bidirectional streaming), and we need engineers who can operate across layers rather than stay confined to one. If you have strong fundamentals, a bias for clean interfaces, and the instinct to understand systems end-to-end, this role is for you.
\nWhat You'll OwnPlatform APIs: authentication, billing, account management, and the surface that keeps the business running.
Feature work across the stack — supporting the rollout of the next generation of our tts and end-to-end speech models.
Integration and migration work as Rime evolves: token-based authentication, new billing and metering providers.
Maintenance and hardening of the current TTS API stack and assisting in its evolution.
Realtime, low-latency, horizontally scalable streaming speech infrastructure.
5+ years of IC engineering experience with strong backend fundamentals.
Experience with at least one low level language: C++, Rust, Go.
Systems-level thinking: you understand what's happening at the network, storage, and runtime layers, not just the application layer.
You build clean interfaces and design for loose coupling; you don't create systems only you can debug. Bias towards codification and reproducibility.
Comfortable moving through an unfamiliar codebase and shipping without extensive hand-holding.
Strong async written communication — we're global and the written word is how work gets done.
Experience integrating 3rd party API’s, such as payments, monitoring, and CRMs.
Experience with gRPC or other bidirectional binary streaming protocols.
Experience with multilingual monorepos where you pick the best language out of merit more than personal experience.
Experience with cloud infrastructure.
Experience at a small startup where the scope of your role was broad and undefined.
Comfort working within ML systems
Work across a real stack with real production stakes — not a feature team inside a large org.
Direct influence on engineering decisions at a formative company stage.
Small, high-ownership team with no layers between you and the work.
Meaningful equity upside.
High ownership, high standards, low bureaucracy.
SF / Bay Area.
Are outliers
Cut through the hype to focus on the craft
Move fast with agency and freedom
Maintain a growth mindset, finding joy in the struggle
Do the right things, knowing that it'll lead to making money
The product-market fit partner for technical enterprise founders.
Unusual Ventures leads seed rounds in enterprise AI software startups. We built a hands-on engagement model that gives technical founders the best odds of finding product-market fit.
Offices: 200 Middlefield Rd, Menlo Park, California 94025, US · 434 Pacific Ave, San Francisco, California 94133, US
Based on 2332 listings with disclosed salaries, most data & analytics jobs in San Francisco, CA pay between $125k–$278k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,910 open data & analytics positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, UCSF Department of Anesthesia and Perioperative Care, Salesforce, Anthropic, Pinterest, among others. Browse the listings above to see every active employer.
Yes — 1794 of the 2910 open data & analytics positions offer remote or hybrid work (381 remote, 1413 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
