Software Engineering Manager - Product Generalist Job at Meta

Senior Software Engineer, Generalist

As a Senior Software Engineer, Generalist at Chef Robotics, you'll play a pivota...

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 software development with demonstrated full-stack capabilities
Proven experience in software development, with a focus on autonomous systems, robotics, or related fields
Strong proficiency in programming languages such as Python and JavaScript/TypeScript, with emphasis on object-oriented design and development
Experience with software development tools and frameworks commonly used in robotics and autonomous systems (e.g., ROS, OpenCV, TensorFlow, etc.)
Familiarity with sensor fusion techniques, perception algorithms, and other technologies relevant to autonomous robotics operations
Advanced understanding of cloud infrastructure and deployment (AWS, GCP, or Azure)
Experience with containerization (Docker) and orchestration (Kubernetes) technologies
Proven experience leading complex, multi-disciplinary software projects from conception to deployment
Strong background in system architecture design and cross-functional technical decision-making

Job Responsibility

Collaborate with robotics engineers, hardware engineers, and other software engineers across the tech stack to design, develop, and deploy software solutions for food automation robots
Participate in all phases of the software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and maintenance
Develop robust, scalable, and maintainable software systems that meet the unique challenges of commercial food production environments
Implement algorithms for perception, manipulation, motion planning, and control to enable autonomous food preparation behavior
Work across frontend dashboards, backend APIs, and cloud infrastructure to build comprehensive solutions that integrate with robotics hardware and AI systems
Design and optimize database schemas to support robot operations, telemetry, recipe management, and system analytics
Implement efficient data pipelines between on-device robotics systems and cloud services
Create data access layers and APIs that enable seamless integration across multiple subsystems
Develop real-time data processing systems for robotics telemetry and performance monitoring
Establish data integrity protocols and backup systems across distributed robotics deployments

What we offer

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

Fulltime

Member of Technical Staff, Software Engineer

Help build the infrastructure that powers training, evaluation, and data platfor...

Location

Switzerland , Zürich

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Strong software engineering background building reliable, scalable production systems (Python preferred)
Hands‑on experience supporting large‑scale ML / LLM training, evaluation, or experimentation infrastructure
Operating GPU‑heavy workloads in cloud environments using Docker and Kubernetes (scheduling, utilization, isolation)
Designing and running data / compute pipelines and orchestration (e.g., Airflow, Argo) with object storage (Azure Blob / S3)
Platform reliability and operability: observability, metrics, logging, tracing, alerting (Prometheus, Grafana, OpenTelemetry)

Job Responsibility

Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management
Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations
advocate for best practices in security, reproducibility, and cost efficiency
Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry)
Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage
Enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams
Enforce security and compliance policies for data access, container hardening, and supply-chain integrity, and partner with security and privacy teams to maintain robust practices in multi-tenant environments and secret management
Collaborate cross-functionally with data, model, and product teams to align infrastructure roadmaps with training needs, evaluation protocols, and Copilot product goals

Fulltime

Engineering Manager - Generalist

To lead multi-disciplinary engineering teams with respect to the planning and de...

Location

United Kingdom , Dorchester

Salary:

Not provided

Morson Talent

Expiration Date

Until further notice

Requirements

Excellent written skills, including writing bids and technical reports
Excellent communication skills, including giving presentations
Expert knowledge of ATLAS UK products and components across the design, development, qualification and acceptance phases
Significant evidence of leadership across internal engineering resource and sub-contractors in the planning and development of ATLAS UK products
Specialist engineering knowledge (in one or more of the following areas Mechanical / Electrical/Systems / Electronics / Software)
The implementation of engineering lifecycles and robust system engineering processes within a product development environment
Planning and leading engineering work-package and delivery projects
Leading engineering design activities and providing engineering support throughout the design, test and acceptance phases to ensure specifications are met, problem areas and risks are identified, and design is fit for purpose
Leadership of the technical concept development of innovative solutions to meet challenging technical requirements
Generating design specifications and technical procurement specifications

Job Responsibility

Lead multi-disciplinary engineering teams with respect to the planning and delivery of ATLAS UK bids, projects and product developments
Development of the engineering technical solution and associated costs, risks and programmes for the subsequent delivery of engineering work-packages
Delivery of technical outputs to time, cost and quality
applying project management methodologies and system engineering principles
Building and developing positive relationships with a wide range of internal and external stakeholders
Management of the engineering teams to deliver agreed work packages including meetings, reporting, resource and issues management in accordance with ATLAS UK processes
Reporting on the team’s delivery with respect to cost, schedule, quality and risk to the overall project team and engineering division management

New

Senior Generalist Engineer - Healthcare AI Platform

We are looking for a senior hands-on engineer to own and maintain a sophisticate...

Location

United States

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

6+ years of hands-on engineering experience with production systems
Generalist mindset, comfortable across backend development, data pipelines, and cloud infrastructure
Strong production Python skills and solid software engineering fundamentals
Hands-on experience with AWS (S3, Lambda, ECS, SQS, Bedrock, RDS or similar)
Experience with analytical data pipelines (SQL, Spark) and data processing at scale
Experience with Infrastructure as Code (Terraform, CDK, or CloudFormation)
Experience with AI-assisted development workflows (Claude Code or alternatives), not just autocomplete
Experience maintaining and scaling systems in production, not just building POCs
Autonomous working style, you don't need a project manager to tell you what to do next
US-based, required due to project compliance and data security constraints

Job Responsibility

Maintain, improve, and extend an AI platform already running in production
Handle a mix of backend development, data engineering, DevOps, and infrastructure work
Translate business and product requirements into technical decisions independently
Work directly with internal stakeholders and consumer teams
Establish and maintain engineering best practices for the platform
Identify and resolve technical issues as the first line of defense

What we offer

Full ownership of a production AI platform
Remote-first, fully flexible work environment
Annual performance bonus
Health, dental, vision, 401(k) with company match, unlimited PTO
Long-term engagement
this role extends beyond the initial project

Fulltime

Vp, Front End Engineer (ai Accelerated)

Do you enjoy solving complex engineering challenges, experimenting with new appr...

Location

United Kingdom , London

Salary:

Not provided

BlackRock Investments

Expiration Date

September 21, 2026

Requirements

7+ years of professional software engineering experience
Strong hands-on proficiency with TypeScript, JavaScript, Angular and React
Deep understanding of web performance, rendering patterns, application security, and modern frontend architectures
Familiarity with cloud platforms (Azure, AWS, GCP)
Experience with CI/CD pipelines, DevOps tooling, or Azure DevOps
Experience leading project teams or owning significant system components
Ability to translate business needs into technical solutions with clarity and practicality
Comfort working in fast-paced, high-complexity domains
Ability to use AI to support design-thinking and architectural decisions, defining patterns and measurable SLO/NFR targets for high-quality engineering outcomes
Curiosity about AI‑augmented engineering, workflow-driven automation, or practical AI productization

Job Responsibility

Collaborate with colleagues across UK, US, India, and other global offices
Build highly available, resilient, and performant frontend systems and frameworks used by thousands of users
Contribute to the evolution of Aladdin’s multi‑asset trading and portfolio management capabilities, using AI to accelerate domain learning and solution design
Shape product direction together with Product, Design, and Engineering leadership
Mentor and guide frontend engineers, helping cultivate a culture of curiosity, inclusion, and technical excellence
Work in an Agile setup where autonomy, ownership, and accountability matter
Use AI proactively from day one, both as a development accelerator and as a tool you validate and refine to ensure highquality outcomes
Ability to combine generalist problemsolving with strong engineering fundamentals, guiding AI tools while retaining human ownership of outcomes
Design elegant solutions from idea to production, with strong engineering discipline and early foundations to keep human and AIgenerated code reliable, clear, and free of technical debt

What we offer

Retirement investment and tools designed to help you in building a sound financial future
Access to education reimbursement
Comprehensive resources to support your physical health and emotional well-being
Family support programs
Flexible Time Off (FTO)

Fulltime

New

Senior Legal Counsel, Product

We are looking for an experienced, technical, and business-minded Senior Counsel...

Location

United States , San Francisco

Salary:

270000.00 - 300000.00 USD / Year

Vercel

Expiration Date

Until further notice

Requirements

Admitted to the California Bar or eligible for Registered In-House Counsel exception and in good standing
8+ years of legal experience, including 4+ years of product legal experience at a software company
Significant experience counseling product and engineering teams through the product development lifecycle from conception to launch and advising on the legal and regulatory aspects of product development in the software industry
Strong understanding of cloud services and general SaaS, PaaS, IaaS business practices and relevant global regulatory requirements
Able to quickly form and convincingly communicate a point of view, under time pressure and with imperfect information
Loves being a generalist and avoids silos
Strong judgment and risk-assessment and mitigation skills
Can independently manage and negotiate technology agreements with customers, technology partners, and technology vendors
Prefers fast-paced, highly variable environments, with a proven track record of building new or improving existing processes at other hyper-growth companies
Enjoys mentoring and advising Legal teammates regardless of formal reporting lines

Job Responsibility

Partner closely with EPD teams to enable cutting-edge product initiatives, balancing innovation and speed with responsible risk management and customer trust
Identify and drive resolution of issues related to privacy, data security, AI, platform safety, marketing, competition, intellectual property, and other legal and regulatory areas
Help translate evolving laws and market expectations into practical, actionable guidance
Work with cross-functional teams to build scalable processes and draft/maintain templates that allow Vercel to ship faster and smarter over time
Engage on special projects and provide legal support to sales, partnerships, procurement, M&A, and other teams as needed, particularly in transactions where nuanced product knowledge is critical

What we offer

Equity-based compensation
Eligibility for a company bonus or variable pay program

Fulltime