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Professional Services Engineer, 911 Systems (Remote)
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Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
About Axon 911
Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.
911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.
Your Impact
In this position, you’ll play a critical part in advancing the Axon 911 mission to Save Lives.
Here's your chance to join our Global Operations team in order to implement, integrate, and deploy our real-time emergency service platforms to our clients, including 911 Public Safety Answering Points (PSAPs) organizations.
In addition to your core role, you will also be suited to providing input into a wide range of technical activities within the company, ranging from technical pre-sales, core architectural and design working sessions, and technical support activities. You will lead onsite and remote installations of Carbyne’s SaaS products, and you will also play an important role in the customer’s site and system architecture by following Carbyne’s best practices and your strong technical experience.
You will work in a high-activity/fast-paced environment, with the ability to handle ambiguity and multiple tasks or projects at once. Your teammates are passionate Customer Success and Technical Support teams, but also broader teams such as Product, Marketing, Development and Engineering teams.
What You’ll Do
Deployment Expertise:
- Plan, design, and execute end-to-end deployment projects for our cloud call-handling solutions.
- Work closely with customers to understand their needs and ensure successful implementations.
911 Systems Technical Depth:
- Provide advanced technical training and knowledge transfer to customers throughout the deployment process.
- Collaborate with engineering teams on complex technical solutions and troubleshooting.
Customer Relations:
- Be a trusted advisor to our customers.
- Provide ongoing support during deployment, including working after hours on installations and post-implementation assistance.
- Champion a customer-centric approach within the team.
Process Improvement:
- Continuously improve our deployment processes and documentation to ensure efficiency and scalability.
Collaboration:
- Work effectively across internal teams (Sales, Engineering, Customer Success, and Support) to ensure seamless project delivery.
- Maintain strong communication with leadership and stakeholders.
What You Bring
- Bachelor's degree in a technical field (or equivalent experience)
- At least 8+ years of experience in a technical role related to VoIP (e.g., PBX, Call Center)
- Proven knowledge of AWS cloud infrastructure
- Proven experience in planning, executing, and delivering complex projects
- Strong communication, interpersonal, and conflict-resolution skills
- Ability to manage multiple priorities and work effectively under pressure
- Excellent analytical and problem-solving skills
- Experience with network infrastructure, including routers, firewalls, and the OSI model
- Ability to travel up to 50% of the time
Nice-to-Haves:
- Experience with the public safety industry (ENP Certification/NG911)
- Knowledge of Cisco UCS and/or FreeSWITCH
- Knowledge of streaming technologies (SIP, RTSP, RTMP, SIP-to-PSTN gateways, SIP Trunk, Wowza, WebRTC)
Work Location
This role is fully remote within the United States with up to 50% travel for customer meetings, training sessions, and industry events.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
Pay Transparency:
Axon offers a comprehensive total compensation package, which includes base salary, a generous annual bonus, and company equity.
The starting base annual pay for this role is between $88,200.00 - $135,240.00 excluding commission, bonuses, and more annually, depending on your geographic market. The actual base salary will vary based on several factors, including level, function, training, transferable skills, work experience, business needs, and location—often a combination of these elements.
Our benefits are designed to support you physically, financially, and emotionally—through life’s major milestones and in your everyday moments. To learn more about our benefits, please visit www.axon.com/careers/benefits.
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Ready to apply?
Apply to AxonABOUT xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
We’re looking for exceptional media engineers who want to join us on a new project to deeply integrate xAI’s advanced AI infrastructure into a platform used by around 600 million users every month. We’re bringing xAI’s technology stack and using it to transform the video product experience - video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to contribute in a major way while leveraging all of the powerful AI tools and talented colleagues at xAI.
RESPONSIBILITIES:
- Build the next generation of large-scale video services
- Contribute to and rebuild core media processing and distribution pipelines in high-performance languages (Rust, C++ or Go)
- Obsess over every millisecond and pixel, ensuring end-to-end media quality and performance at scale across a rich suite of products and user platforms
BASIC QUALIFICATIONS:
- At least 5 years of experience
- Obsessed with media quality, performance, and product experience
- Proficient in high performance C++ or Go
- In-depth knowledge of either WebRTC or LL-HLS or video transcoding pipelines
- Familiar with building and running scalable and resilient distributed systems
PREFERRED SKILLS AND EXPERIENCE:
- Go, C++, Rust, Java, Scala
- Kubernetes, FoundationDB, ValKey, Envoy, S3
- H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, LL-HLS, HDR, DRM
COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Ready to apply?
Apply to xAI
Robotic Engineer
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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.
Ready to apply?
Apply to Hyphen Connect Limited
Multimodal AI Systems Architect (AI Engineering)
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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.
Ready to apply?
Apply to Hyphen Connect Limited
Senior / Staff+ Software Engineer, Voice Platform
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic