Cartesia Ai OPT Eligible Jobs USA
Cartesia AI hires OPT students for roles in machine learning, AI infrastructure, and software engineering. As a venture-backed AI startup, it offers a strong pathway for F-1 students seeking hands-on technical roles and potential H-1B visa sponsorship after OPT, making it a compelling target for STEM graduates.
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Get Access To All JobsAbout Cartesia
Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
We’re hiring our first Solutions Engineer to help turn Cartesia’s voice AI infrastructure into enterprise adoption. Our customers are building real-time voice agents, call automation systems, and AI workflows that depend on low latency, reliability, and production-grade integration. As a Solutions Engineer, you will partner closely with Account Executives to lead the technical side of strategic deals — from initial discovery through proof-of-concept and technical validation.
You will operate at the intersection of engineering and go-to-market, translating customer workflows and infrastructure constraints into clear architectural paths forward.
This is a high-agency, hands-on role. You’ll write code, build demos, prototype integrations, and run technical deep dives with engineering leaders. You won’t inherit a mature playbook — you’ll help build it by creating demo environments, documentation, and repeatable processes that scale as we grow.
Solutions Engineers are critical to our growth: deals close because the architecture is sound, the integration works, and the customer trusts us to power real-time systems in production.
Your Impact
-
Own the technical sales cycle – Lead discovery, architecture discussions, API deep dives, and integration planning across strategic enterprise deals.
-
Deliver tailored, high-impact demos – Translate Cartesia’s voice AI into customer-specific workflows that reflect real latency and infrastructure constraints.
-
Design and deliver high-impact proofs-of-concept – Scope and test integrations that confirm performance, batching, throughput, and deployment assumptions before contracts are signed.
-
Act as a trusted technical advisor – Build credibility with engineering and product leaders by understanding their stack and real-time system requirements.
-
Lead infrastructure conversations – Reason through GPU sizing, scaling models, cloud vs. on-prem tradeoffs, and deployment patterns for voice and real-time AI systems.
-
Unblock pre-sale integrations – Debug API usage, prototype workflows, and resolve technical objections that would otherwise stall momentum.
-
Translate field signal into product leverage – Surface recurring integration patterns, performance gaps, and feature needs to Engineering and Product.
-
Build the SE foundation – Create reusable demo environments, documentation, and playbooks that scale our enterprise motion.
-
Support strategic deals – Work closely with Account Executives and founders as a technical co-pilot in complex, multi-stakeholder sales cycles.
What You Bring
-
3–7+ years of experience in Solutions Engineering, Sales Engineering, or developer-facing technical roles at a high-growth B2B SaaS or infrastructure company.
-
Demonstrated ability to scope and execute POCs end-to-end — gathering requirements, building working integrations, and presenting results clearly.
-
Strong engineering foundation — you can write and debug code (Python preferred), understand APIs deeply, and integrate technical products into real-world systems.
-
Comfort discussing cloud and containerized environments (AWS, GCP, Kubernetes), including deployment models, scaling assumptions, and performance tradeoffs.
-
Proven ability to influence executive and senior technical stakeholders — translating complex technical concepts into clear business value.
-
Excellent communicator who can move fluidly between backend engineers, ML teams, and executive audiences in the same conversation.
-
Customer-first mindset — strong discovery skills and the ability to turn ambiguous requirements into structured technical solutions.
-
High agency and proactive ownership — you pick up missing knowledge quickly and drive problems to resolution.
Nice-to-Have
-
Hands-on experience with voice AI, speech systems (ASR/TTS), or real-time/streaming architectures.
-
Multilingual fluency or experience supporting customers across international markets and non-English language deployments.
-
Experience working with AI/ML APIs, LLM-based systems, or real-time inference pipelines.
-
Prior experience as a software engineer or in a deeply technical role before moving into a customer-facing position.
-
Experience supporting enterprise deployments across VPC or on-prem environments.
-
Familiarity with developer-led or product-led growth (PLG) motions and technical buyer personas.
-
Experience as an early or founding Solutions Engineer at a startup.
What We Offer
🍽 Lunch, dinner and snacks at the office
🏥 Fully covered medical, dental, and vision insurance for employees
🏦 401(k)
✈️ Relocation and immigration support
🦖 Your own personal Yoshi
Our Culture
🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.
🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
About Cartesia
Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
We’re hiring our first Solutions Engineer to help turn Cartesia’s voice AI infrastructure into enterprise adoption. Our customers are building real-time voice agents, call automation systems, and AI workflows that depend on low latency, reliability, and production-grade integration. As a Solutions Engineer, you will partner closely with Account Executives to lead the technical side of strategic deals — from initial discovery through proof-of-concept and technical validation.
You will operate at the intersection of engineering and go-to-market, translating customer workflows and infrastructure constraints into clear architectural paths forward.
This is a high-agency, hands-on role. You’ll write code, build demos, prototype integrations, and run technical deep dives with engineering leaders. You won’t inherit a mature playbook — you’ll help build it by creating demo environments, documentation, and repeatable processes that scale as we grow.
Solutions Engineers are critical to our growth: deals close because the architecture is sound, the integration works, and the customer trusts us to power real-time systems in production.
Your Impact
-
Own the technical sales cycle – Lead discovery, architecture discussions, API deep dives, and integration planning across strategic enterprise deals.
-
Deliver tailored, high-impact demos – Translate Cartesia’s voice AI into customer-specific workflows that reflect real latency and infrastructure constraints.
-
Design and deliver high-impact proofs-of-concept – Scope and test integrations that confirm performance, batching, throughput, and deployment assumptions before contracts are signed.
-
Act as a trusted technical advisor – Build credibility with engineering and product leaders by understanding their stack and real-time system requirements.
-
Lead infrastructure conversations – Reason through GPU sizing, scaling models, cloud vs. on-prem tradeoffs, and deployment patterns for voice and real-time AI systems.
-
Unblock pre-sale integrations – Debug API usage, prototype workflows, and resolve technical objections that would otherwise stall momentum.
-
Translate field signal into product leverage – Surface recurring integration patterns, performance gaps, and feature needs to Engineering and Product.
-
Build the SE foundation – Create reusable demo environments, documentation, and playbooks that scale our enterprise motion.
-
Support strategic deals – Work closely with Account Executives and founders as a technical co-pilot in complex, multi-stakeholder sales cycles.
What You Bring
-
3–7+ years of experience in Solutions Engineering, Sales Engineering, or developer-facing technical roles at a high-growth B2B SaaS or infrastructure company.
-
Demonstrated ability to scope and execute POCs end-to-end — gathering requirements, building working integrations, and presenting results clearly.
-
Strong engineering foundation — you can write and debug code (Python preferred), understand APIs deeply, and integrate technical products into real-world systems.
-
Comfort discussing cloud and containerized environments (AWS, GCP, Kubernetes), including deployment models, scaling assumptions, and performance tradeoffs.
-
Proven ability to influence executive and senior technical stakeholders — translating complex technical concepts into clear business value.
-
Excellent communicator who can move fluidly between backend engineers, ML teams, and executive audiences in the same conversation.
-
Customer-first mindset — strong discovery skills and the ability to turn ambiguous requirements into structured technical solutions.
-
High agency and proactive ownership — you pick up missing knowledge quickly and drive problems to resolution.
Nice-to-Have
-
Hands-on experience with voice AI, speech systems (ASR/TTS), or real-time/streaming architectures.
-
Multilingual fluency or experience supporting customers across international markets and non-English language deployments.
-
Experience working with AI/ML APIs, LLM-based systems, or real-time inference pipelines.
-
Prior experience as a software engineer or in a deeply technical role before moving into a customer-facing position.
-
Experience supporting enterprise deployments across VPC or on-prem environments.
-
Familiarity with developer-led or product-led growth (PLG) motions and technical buyer personas.
-
Experience as an early or founding Solutions Engineer at a startup.
What We Offer
🍽 Lunch, dinner and snacks at the office
🏥 Fully covered medical, dental, and vision insurance for employees
🏦 401(k)
✈️ Relocation and immigration support
🦖 Your own personal Yoshi
Our Culture
🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.
🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
Job Roles at Cartesia Ai
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Get Access To All JobsTips for Finding Cartesia Ai OPT Eligible Jobs USA
Align your degree to Cartesia's core stack
Cartesia AI builds real-time AI inference infrastructure, so hiring managers will scrutinize the match between your degree field and your applied work. Frame your coursework in neural networks, systems programming, or signal processing directly against their published research and product focus.
Confirm E-Verify enrollment before accepting an offer
Your STEM OPT 24-month extension requires your employer to be enrolled in E-Verify. Ask Cartesia AI's recruiter to confirm enrollment status before you sign. A company that hasn't completed E-Verify registration cannot legally employ you on a STEM EAD extension.
Target roles with explicit H-1B transition history
Use Migrate Mate to check Cartesia AI's H-1B Labor Condition Application filings by job title. Roles that appear in LCA records signal which positions the company has historically been willing to sponsor beyond OPT, giving you a concrete shortlist before you apply.
Submit your I-983 training plan early
USCIS requires your employer to sign Form I-983 before your STEM OPT extension is approved. Draft your training plan before your offer letter is finalized so Cartesia AI's HR or legal team can review it without rushing, reducing the risk of authorization gaps at your OPT end date.
Benchmark your salary against the prevailing wage
STEM OPT regulations require pay equal to similarly situated U.S. workers. Pull the wage level for your specific occupation code using the OFLC Wage Search before negotiating your offer. Underpaid OPT arrangements create compliance risk for the employer and can jeopardize your STEM extension.
Document your technical contributions for H-1B evidence
Start a work log on your first day tracking projects, tools, and outcomes tied to your specialty occupation role. When Cartesia AI files your H-1B petition, this record strengthens the specialty occupation argument and gives their legal team concrete evidence to respond to any USCIS Request for Evidence.
Cartesia Ai OPT Eligibility: Frequently Asked Questions
Does Cartesia Ai sponsor OPT visas?
Cartesia AI doesn't sponsor OPT itself. OPT is work authorization USCIS grants directly to F-1 students. What Cartesia AI does is hire students who already hold an OPT EAD. For the STEM OPT 24-month extension, Cartesia AI must be enrolled in E-Verify and sign your Form I-983 training plan.
Which roles at Cartesia Ai typically support OPT students?
Cartesia AI primarily hires for machine learning engineering, AI research, and software infrastructure roles. These positions align closely with STEM-designated degree fields like computer science, electrical engineering, and applied mathematics, which makes them well-suited for both initial OPT authorization and the STEM OPT extension.
How do I find out if Cartesia Ai will sponsor my H-1B after OPT?
Check Cartesia AI's H-1B Labor Condition Application history on Migrate Mate. LCA filings show which job titles the company has sponsored for H-1B, giving you a realistic view of which roles lead to long-term sponsorship. Raise the H-1B question directly with your recruiter before accepting an offer.
What is the timeline for the STEM OPT extension at Cartesia Ai?
File your STEM OPT extension application with USCIS at least 90 days before your initial OPT EAD expires. Your DSO must update your SEVIS record, and Cartesia AI must sign your I-983 before you submit. If filed on time and your status is current, your employment authorization continues automatically during USCIS processing.
How do I make my application stand out for OPT roles at Cartesia Ai?
Tailor your application to Cartesia AI's specific research areas, referencing the O*NET occupation profile for your target role to align your skills with the specialty occupation standard. Demonstrate prior work on inference optimization, audio or speech models, or real-time ML systems, as these map directly to what Cartesia AI builds.
How does Cartesia Ai hire OPT students?
OPT is work authorization granted directly to F-1 students after graduation — no employer petition is required. Cartesia Ai can hire OPT students as soon as their EAD card is approved. STEM degree holders can extend OPT by 24 months when their employer is enrolled in E-Verify. Most companies that hire OPT students also support the transition to H-1B when the student's OPT period is ending. Check Cartesia Ai's individual postings on Migrate Mate to confirm OPT acceptance per role.