Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 14 hours ago

Robotics DevRel Engineer

Jobgether4,386 open roles

Where
US
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowRobotics DevRel EngineerJobgether · US

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Jobgether's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 5 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 14 hours ago

Jobgether median: 5 days open

The posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Robotics DevRel Engineer based in the United States.

This is an exciting opportunity for a robotics and machine learning expert to help shape how practitioners build and deploy AI-powered robotic systems. You will work at the intersection of robotics, computer vision, machine learning, and data infrastructure. The role combines hands-on engineering with developer relations, technical education, content creation, and community engagement. You will support a growing technical community while building integrations with robotics tools, models, datasets, and simulation environments. You will also create practical resources and represent the technology at conferences, workshops, meetups, and hackathons. This is a fully remote role within a collaborative, autonomous, and community-driven environment.

Accountabilities:

  • Provide thoughtful, technically accurate support to users through community channels such as Slack, Stack Overflow, and Reddit, including helping robotics engineers solve real-world deployment challenges.
  • Develop technical integrations connecting computer vision and data tooling with robotics technologies, perception frameworks, simulation environments, sensor data formats, models, and datasets.
  • Write high-quality technical blogs, tutorials, guides, and documentation covering topics at the intersection of robotics, machine learning, and data infrastructure, including robot learning, vision-language-action models, world models, and sim-to-real workflows.
  • Produce engaging technical video content, including short-form social media videos and longer educational content designed for robotics and machine learning practitioners.
  • Create and deliver educational courses, workshops, and training sessions both online and in person, with a focus on computer vision and machine learning applications in robotics.
  • Support and participate in community-building initiatives, including meetups, hackathons, conferences, workshops, and other events focused on robotics and autonomous systems.
  • Speak at technical events and engage directly with the broader robotics and AI community to share practical knowledge, demonstrate solutions, and strengthen developer adoption.
  • 3+ years of professional machine learning experience, including hands-on application of computer vision to robotics systems such as perception, navigation, manipulation, or autonomous vehicles.
  • Master's or PhD degree in computer science, robotics, or a related discipline, ideally with a focus on computer vision.
  • Practical experience working with robotics-specific data formats, tools, and workflows, including multimodal sensor data such as MCAP or LeRobot and simulation platforms such as Isaac Sim.
  • Strong Python programming skills and proficiency with machine learning and scientific computing libraries such as PyTorch, TensorFlow, and NumPy.
  • Excellent technical writing and communication skills, with the ability to explain complex robotics and machine learning concepts clearly to technical audiences.
  • Experience creating technical video content using screen-recording and video-editing tools.
  • A portfolio of technical work is highly valued, including blogs, articles, research papers, tutorials, GitHub repositories, or other publicly accessible projects.
  • Experience speaking at conferences, workshops, meetups, or other technical events is a strong plus, particularly within robotics, autonomous systems, or computer vision communities.
  • Active participation in open-source communities, especially robotics-related projects, is highly desirable.
  • Ability to work effectively in a remote-first environment while collaborating through tools such as GitHub, Slack, and other distributed development platforms.
  • Strong interpersonal skills, curiosity, autonomy, and enthusiasm for engaging with developers and technical communities.
  • Cash compensation in the range of $190,000–$240,000.
  • Equity in the form of stock options in addition to base compensation.
  • A variety of employee benefits designed to support your professional and personal well-being.
  • Fully remote work within the United States.
  • A flexible, human-first working environment built around autonomy, trust, and respect.
  • The opportunity to work at the intersection of robotics, computer vision, machine learning, and real-world AI applications.
  • The opportunity to contribute to open-source technology and engage with a growing global technical community.
  • Opportunities to create technical content, speak at industry events, build integrations, and establish yourself as a voice within the robotics and AI ecosystem.
  • A collaborative environment where community, technical excellence, and individual ownership are highly valued.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Jobgether's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Jobgether's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Jobgether's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.