Software Engineer: ML Robotics Systems Job at Generalist AI (San Mateo)

Senior Software Engineer, Backend

As a Senior Software Engineer, Backend specializing in database architecture and...

Location

United States , San Francisco

Salary:

150000.00 - 240000.00 USD / Year

Chef Robotics

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
7+ years of professional experience in backend development roles with demonstrated leadership experience
Expert knowledge of relational databases (MySQL, PostgreSQL) including schema design, optimization, and administration
Strong proficiency with Python and JavaScript/TypeScript with advanced software engineering skills
Extensive experience leading projects with at least two web frameworks: Flask, FastAPI, Django, Node.js, or Next.js
Proven experience designing and implementing RESTful and GraphQL APIs at scale
Advanced understanding of containerization (Docker) and orchestration (Kubernetes) technologies
Experience with cloud infrastructure and deployment (AWS, GCP, or Azure) in production environments
Proven experience leading complex backend projects and mentoring junior engineers
Understanding of data requirements for robotics or automation systems

Job Responsibility

Lead the design, implementation, and optimization of database schemas to support robot operations, telemetry, recipe management, and system analytics
Develop robust data migration strategies and version control for database schema evolution
Implement efficient query optimization and indexing strategies to support high-throughput robot operations
Establish data integrity protocols and backup systems to ensure operational continuity across customer deployments
Create scalable data access layers that balance security, performance, and maintainability
Mentor team members on database design patterns and optimization techniques
Lead the development and maintenance of scalable APIs to serve robot control systems, dashboards, and monitoring tools
Design and implement secure authentication and authorization mechanisms across backend services
Develop robust middleware for processing and validating data between robotics subsystems
Create service interfaces that enable efficient communication between robotics components and cloud services

What we offer

medical, dental, and vision insurance
commuter benefits
flexible paid time off (PTO)
catered lunch
401(k) matching
early-stage equity

Fulltime

Senior Software Engineer, Machine Learning

At Machina Labs, we’re reshaping manufacturing through advanced robotics and mac...

Location

United States , Chatsworth

Salary:

155000.00 - 190000.00 USD / Year

Machina Labs

Expiration Date

Until further notice

Requirements

MS or PhD. in Data Science, Computer Science, Machine Learning, Statistics, or a related field
4+ years of hands-on experience in machine learning systems, algorithms, and applications (e.g. deep learning, time series analysis, etc.)
Experienced and very comfortable coming up with machine learning architectures and training models from scratch
Extensive Python programming experience
Familiarity with big data platforms (Hadoop, Spark, Hive) and analytics environments (Databricks, Sagemaker/Azure ML, Jupyter)
Experience in build/release systems and processes
Quick learner of new technologies and experienced in fast-paced iterative design
Strong communicator with the ability to explain complex topics to technical and non-technical audiences
Proven track record of being able to solve complex problems independently and as part of an integrated team

Job Responsibility

Identify opportunities for machine learning automation and predictive modeling by analyzing available data and collaborating with engineers and manufacturing process experts
Conduct data mining, develop model architectures, train and deploy models, and define metrics aligned with business objectives
Design, develop, and deploy ETL and data cleansing processes to extract relevant features for modeling (in collaboration with other team members)
Assist team members in data analysis and interpretation
Design and conduct experiments to test and validate solutions and models
Build a production-ready pipeline supporting multiple machine learning models
Develop monitoring tools for data quality and system performance
Provide guidance to team members and actively participate in interview processes to hire additional team members

What we offer

Medical, Dental, Vision
PTO
Stock Options

Fulltime

Software Engineer, Robotics & Autonomous Systems

Scale's Robotics business unit is dedicated to solving the data bottleneck in Ph...

Location

United States , San Francisco

Salary:

216200.00 - 270250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
Strong programming skills in Python and TypeScript/Node.js for production systems
Experience with React and modern frontend development for 3D interfaces
Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
Experience with databases (MongoDB, PostgreSQL) and data processing at scale
Track record of working with cross-functional teams including ML engineers, researchers, and customers
Strong communication skills and ability to operate with high autonomy

Job Responsibility

Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
Build ML training and fine-tuning pipelines using Scale's robotics data
Work across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
Develop tools and systems for robotics data collection, teleoperation, and model evaluation
Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
Build real-time systems for robotic control, sensor fusion, and perception pipelines
Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
Collaborate with ML engineers and researchers to bring robotics research into production
Deliver features at high velocity while maintaining system reliability and performance

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
a commuter stipend (may be eligible)

Fulltime

Software Engineer, Robotics

Scale's Robotics business unit is dedicated to solving the data bottleneck in Ph...

Location

Mexico , Mexico City

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems
Strong programming skills in Python and TypeScript/Node.js for production systems
Experience with React and modern frontend development for 3D interfaces
Concurrent and real-time systems, with special attention to timing constraints
Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
Track record of working with cross-functional teams including ML engineers, researchers, and customers
Strong communication skills and ability to operate with high autonomy

Job Responsibility

Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
Build ML training and fine-tuning pipelines using Scale's robotics data
Work across backend (Python, Node.js, C++), and frontend (React, TypeScript) stacks to build end-to-end solutions
Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors
Collaborate with ML engineers and researchers to bring robotics research into production
Deliver features at high velocity while maintaining system reliability and performance

Software Engineer, Robotics

Scale's Robotics business unit is dedicated to solving the data bottleneck in Ph...

Location

Argentina; Uruguay

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

At least 6 years of high-proficiency software engineering experience
Strong programming skills in Python and TypeScript/Node.js for production systems
Experience with React and modern frontend development for 3D interfaces
Concurrent and real-time systems, with special attention to timing constraints
Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
Track record of working with cross-functional teams including ML engineers, researchers, and customers
Strong communication skills and ability to operate with high autonomy

Job Responsibility

Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
Build ML training and fine-tuning pipelines using Scale's robotics data
Work across backend (Python, Node.js, C++), and frontend (React, TypeScript) stacks to build end-to-end solutions
Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity
Collaborate with ML engineers and researchers to bring robotics research into production
Deliver features at high velocity while maintaining system reliability and performance

AI Systems Engineer - Agentic Autonomy

We are seeking an AI Systems Engineer with deep expertise in large language mode...

Location

United States , Greater Boston

Salary:

140000.00 - 180000.00 USD / Year

HavocAI

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related field
Deep hands-on experience building with LLMs and multi-agent/agentic AI frameworks
Strong software engineering background in modern ML frameworks, cloud orchestration, and API development
Experience integrating AI systems into larger software architectures or robotics/autonomy workflows
Understanding of RAG pipelines, tool-use frameworks, LLM function-calling, memory systems, and agent orchestration
Experience with safety evaluation, model alignment, or mission-critical AI system validation
Ability to lead system-level design discussions and coordinate across multiple engineering disciplines
Must be a U.S. Citizen and eligible to obtain a Secret Clearance

Job Responsibility

Lead the design and development of LLM-powered software modules for mission reasoning, planning, operator interaction, and autonomous decision support
Integrate LLMs and agentic systems into HavocAI’s autonomy architecture, including ROS/ROS2 systems, planning engines, and mission software
Build multi-agent, tool-using AI systems that interact with perception data, mission databases, simulation systems, and operator inputs
Develop APIs, wrappers, and orchestration layers enabling LLMs to interface safely with embedded, cloud, and edge compute environments
Optimize LLM inference pipelines for performance, latency, and reliability in field-deployed systems
Evaluate model behavior, perform safety testing, and develop guardrails for mission-critical use cases
Collaborate with autonomy, embedded, simulation, and full-stack teams to define requirements and ensure robust system-level integration
Guide strategic decisions on model selection, fine-tuning approaches, safety frameworks, and long-term AI architecture
Contribute to field testing, operator evaluations, and iterative deployment cycles for AI-augmented autonomy systems

What we offer

100% Employer paid Health, Dental and Vision Insurance for you and your families
Life Insurance (Employer Paid)
Ability to participate in the companies 401k program (Matching)
Unlimited PTO policy with an enforced 2 week minimum
Equity Package
Work / Home Office Stipend
Global Entry
16 Week Paid Parental Leave
Monthly Health and Wellness Stipend

Fulltime

Robotics Computer Vision Engineer

Formic is on a mission to reshape American manufacturing by making automation ac...

Location

United States , San Francisco; Oakland

Salary:

145000.00 - 200000.00 USD / Year

Formic

Expiration Date

Until further notice

Requirements

5+ years of experience in robotics software or autonomous systems
Strong C++ and systems programming experience
Experience with ROS2, DDS, and real-time Linux
Experience building distributed, high-performance, or latency-sensitive systems
Familiarity with GPU compute and ML training pipelines
Strong DevOps and CI/CD experience
Experience supporting production-grade systems beyond research prototypes

Job Responsibility

Design and maintain distributed robotics software architecture
Build middleware and data pipelines for real-time robotic systems
Develop logging, replay, and observability tools
Build scalable data infrastructure to support AI training workflows
Implement model versioning, deployment, and rollback systems
Optimize performance and latency across distributed compute nodes
Develop CI/CD pipelines for simulation and hardware testing
Enable reproducible experiments across simulation and production deployments
Support large-scale data collection from deployed robotic systems

What we offer

Equity in Formic
Competitive & Uncapped Commission Structure
Comprehensive Healthcare Coverage (Medical, dental, and vision insurance)
Additional Insurance Benefits (FSA and DCFSA, life insurance, short-term disability, and long-term disability)
Employee Assistance Program (EAP)
Paid Parental Leave Program (Up to 12 weeks)
Company-sponsored 401(k)
Home Office Stipend
Monthly Cell Phone Reimbursement
Flexible Time Off

Fulltime

Principal Machine Learning Tech Lead

We are looking for a highly skilled and innovative Principal Machine Learning Te...

Location

United States

Salary:

312000.00 USD / Year

Blue River Technology

Expiration Date

Until further notice

Requirements

8-12 years of experience developing high-performance ML systems
Experience shaping the technical vision for larger projects and providing guidance while contributing to core capabilities
Strong leadership and communication skills, and demonstrated experience in leading and mentoring teams
Hands-on work experience with GPU-based computing on large data sets
Extensive experience with deep learning frameworks (e.g., PyTorch)
Bachelor’s or Master’s Degree in Computer Science or a related field, graduate degree preferred

Job Responsibility

Lead the design, development, and deployment of machine learning and computer vision models that power real-time perception for autonomous agricultural robots
Own the full ML lifecycle—from dataset design and data collection through training, evaluation, model optimization, and deployment on embedded platforms
Collaborate cross-functionally with robotics engineers, software developers, and hardware teams to integrate perception systems into field-ready machines
Lead a team of CVML engineers, fostering technical growth, strong engineering practices, and a culture of experimentation and delivery
Define and execute the ML roadmap, balancing research exploration with production needs to meet performance, safety, and robustness targets in challenging environments
Prototype and validate new approaches quickly, using both real-world and synthetic data to improve detection, segmentation, and scene understanding under variable conditions (lighting, occlusion, dust, etc)
Continuously evaluate model performance in the field and refine approaches to maximize reliability and generalization across crop types, terrains, and climates

What we offer

bonus and benefit programs
inclusive workplace
programs including recruiting, mentorship, career development, and learning & development
reasonable accommodation for individuals with disabilities

Fulltime

Software Engineer: ML Robotics Systems

Generalist AI

Location:
United States , San Mateo ▼
Somerville

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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