Software Engineering

About the role

This position offers a chance to contribute to the core of voice AI technology. You will work on impactful projects within our engineering team, gaining hands-on experience with real-world applications. Expect to be involved in building and shipping features that directly benefit our users. You will collaborate with experienced engineers to refine your technical skills and architectural judgment. The role emphasizes ownership over your work from initial design through deployment and monitoring. You will investigate ambiguous requirements and translate them into concrete technical solutions. This position is ideal for someone who thrives in a fast-paced environment and seeks meaningful responsibility. You will be part of a team dedicated to pushing the boundaries of what is possible in speech recognition and interaction.

Key facts

What you'll do

• Architect and implement a full feature set for a voice application, guiding the project from initial brainstorming to production release.
• Integrate your contributions seamlessly into the main repository, ensuring high quality and reliability for customer-facing products.
• Analyze the fundamentals of voice AI, applying concepts from machine learning for speech and audio to solve real-time engineering challenges.
• Leverage modern AI tools as a core component of your development workflow to accelerate prototyping and code generation.
• Deconstruct complex system failures by tracing issues through logs, metrics, and source code at the most granular level.
• Optimize audio processing pipelines to reduce latency and improve accuracy under varying network and hardware conditions.
• Document technical decisions and processes clearly, enabling other engineers to understand and build upon your work efficiently.
• Participate in code reviews by providing detailed, constructive feedback that helps peers elevate the overall codebase quality.
• Experiment with novel algorithms and frameworks, evaluating their trade-offs before recommending scalable implementations.
• Collaborate with product managers and designers to refine user stories and translate high-level requirements into technical tasks.
• Mentor junior engineers by pairing with them and sharing best practices for testing, debugging, and maintaining robust systems.
• Take responsibility for on-call rotations, diagnosing live issues in production and coordinating with the team for rapid resolution.
• Continuously assess new libraries and tools in the speech technology space to identify opportunities for innovation and efficiency gains.
• Balance long-term architectural goals with short-term delivery needs, ensuring sustainable progress without sacrificing quality.

Requirements

• Demonstrated experience building projects, tools, or automations, whether through academic work, personal initiatives, or previous roles.
• A proactive approach to using AI for learning and development, with the ability to articulate both the benefits and the inherent limitations of these tools.
• A strong analytical mindset capable of investigating issues from fundamental principles rather than relying solely on surface-level symptoms.
• Proficiency in at least one programming language, with the demonstrated ability to quickly learn new languages and adapt to different codebases and conventions.
• Clear communication skills, able to explain your technical work, the challenges encountered, and your planned next steps to diverse audiences.
• A drive to solve complex, open-ended problems and a commitment to continuous improvement in both code quality and personal workflow.
• The ability to provide and accept constructive feedback in a professional manner, fostering a collaborative and growth-oriented team environment.
• Comfort working in a fully remote setting, managing your own schedule while meeting team expectations for availability and responsiveness.
• Familiarity with version control systems, particularly Git, and a disciplined approach to managing changes and merge conflicts.
• An understanding of software development lifecycle, including testing, debugging, logging, and the deployment of reliable applications.
• The capacity to read and interpret technical documentation, API specifications, and research papers to implement new features independently.
• Willingness to adhere to the coding standards and technical guidelines established by the engineering team to ensure consistency.
• Eligibility to work in the USA, with the ability to commute or relocate to the listed locations if required for any in-person activities.
• Access to a reliable internet connection and a suitable workspace for remote collaboration during core working hours.

Nice to have

• Currently pursuing a degree in computer science, engineering, or a related discipline, or possessing equivalent practical skills gained through alternative learning paths.
• Prior exposure to machine learning, real-time systems, or audio/speech processing through coursework, personal projects, or contributions to open source.
• Previous internship experience, participation in hackathons, or personal projects, especially those that incorporated AI assistance to augment development speed.
• Experience with containerization and orchestration tools such as Docker or Kubernetes for deploying scalable services.
• Basic understanding of cloud platforms and infrastructure as code concepts to manage resources efficiently.

Practical notes

• Hiring for Fall 2026 and Summer 2027 cohorts.
• This role operates on a standard full-time schedule requiring availability during core business hours.
• Compensation is quoted on an hourly basis and may vary based on location, experience, and specific role complexity.
• Candidates must be legally authorized to work in the United States without sponsorship requirements for this position.
• All selected candidates will undergo a standardized interview process designed to evaluate technical aptitude and cultural fit.
• Travel is not required for this position, as the role is fully remote.
• This position is not eligible for visa sponsorship at this time.
• Successful candidates will be required to sign an employment agreement in adherence with company policies.
• The start date is contingent upon team needs and the successful completion of the hiring process.