recruitingfromscratch
Software Engineer, Autonomy & Real-Time Systems
- Compensation
- Not disclosed
- Location
- Seattle, WA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Nice to have
- Familiarity with AI and machine learning concepts.
- Experience in developing scalable systems for high-traffic applications.
- Knowledge of cloud services and infrastructure management.
Full description
Software Engineer, Autonomy & Real-Time Systems
- Title of Role: Software Engineer, Autonomy & Real-Time Systems
- Location: Seattle, onsite
- Company Stage of Funding: Seed — Software Development, AI
- Office Type: Onsite
- Salary: $250K–$450K
Company Description
We're representing a dynamic startup focused on building visual conversational AI that feels as human as possible. This company is at the forefront of AI and software development, creating innovative solutions that enhance user interactions through advanced technology. With a small, dedicated team, they are poised to make significant impacts in the industry.
What You Will Do
- Develop and optimize backend systems using Python, Rust, C/C++, and Go to support real-time AI functionalities.
- Collaborate with cross-functional teams to design and implement robust algorithms for visual conversational AI applications.
- Engage in code reviews and provide mentorship to junior engineers, fostering a culture of continuous improvement.
- Analyze system performance and implement optimizations to improve efficiency and scalability.
- Participate in the full software development lifecycle, from concept through deployment and maintenance.
Ideal Candidate Background
- 2+ years of experience in backend engineering or computer vision.
- Proficient in Python, Rust, C/C++, and Go with a strong understanding of software development principles.
- Experience with real-time systems and performance optimization techniques.
- Ability to work collaboratively in a fast-paced, team-oriented environment.
Preferred
- Familiarity with AI and machine learning concepts.
- Experience in developing scalable systems for high-traffic applications.
- Knowledge of cloud services and infrastructure management.
Compensation and Benefits
The base salary for this role ranges from $250K to $450K, complemented by meaningful equity opportunities. This company offers a competitive compensation package designed to attract top talent in the industry.