Sr Software Systems Engineer
Mindlance
Section 1: Role Overview
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
- How does this role fit within the team/department? One of multiple software engineers on the team, joining the Desktop platform track. This engineer will build features and ship product on the Desktop browser (macOS/Windows) using AI coding tools as the primary development method. Unlike our Chromium specialist role, this person does not need deep Chromium internals expertise - they need to be a strong application engineer who can move fast with AI tools.
- Overview of the team: Cross-functional team (Product, Design, Engineering) building Yahoo's AI-powered browser across iOS, Android, and Desktop. The team uses AI coding tools (primarily Claude Code) as the primary development method - no code is written by hand.
- Key team goals: Build and ship Yahoo's next-generation AI-powered web browser on Desktop (macOS/Windows), with AI-driven features powered by LLMs and a polished consumer experience.
- Primary responsibilities (daily/weekly):
- Build features, fix bugs, and ship product on the Desktop browser application (macOS/Windows), which is built on top of Chromium.
- Use AI coding tools (Claude Code, Codex) to write and maintain high-quality, efficient code - our team does not write code by hand.
- Work across layers of the Desktop app - from UI components and browser chrome to backend service integrations - using AI tools to ramp quickly on unfamiliar areas.
- Debug and resolve issues related to rendering, networking, and system integration on desktop platforms.
- Participate in code reviews as applicable, weekly meetings, daily standups, and weekly demos (Fridays).
- Occasionally work across platform boundaries when needed (e.g., touching backend services or shared code used by other platforms).
- Key projects or initiatives for the role:
- Desktop browser feature development: AI-driven features, custom browser UI, and service integrations
- Performance, stability, and quality improvements across the Desktop app
- Developer tooling, CI/CD, and build system improvements as needed
- Success metrics or KPIs for this role:
- Feature velocity - shipping user-facing desktop features within our 1-week cycle cadence
- Effective use of AI coding tools - leveraging agents for implementation, managing multiple agent sessions, and maintaining quality through review
- bility to ramp quickly on unfamiliar parts of the codebase using AI tools to bridge knowledge gaps
- Quality - PRs pass CI, don't regress existing features, and follow established conventions
- How is success measured?
- PRs shipped per week
- Stability metrics - crash rates, bug count, CI pass rate on desktop builds
- Peer feedback and ability to unblock other engineers
- Must-have skills/qualifications (technical, soft skills, certifications, tools):
- 6 years of professional software engineering experience
- Strong proficiency in at least one systems or application programming language (e.g., Swift, C , Rust, C#, or similar) - the Desktop app uses Swift (macOS) and C but AI tools help bridge language gaps
- Experience building and shipping complex desktop applications on macOS and/or Windows
- Strong problem-solving skills and comfort navigating large, unfamiliar codebases
- Willingness and ability to use AI coding tools (Claude Code) as the primary development method - this is non-negotiable
- Ideal experience level (years, leadership, industries):
- 6-10 years of software engineering with a track record of shipping consumer desktop products
- Prior experience with large-scale desktop apps (browsers, IDEs, media apps, productivity tools, or similar)
- No management or leadership requirement - this is a hands-on IC role
- ny preferred industries or companies for background?
- Companies shipping consumer-facing desktop applications
- Companies with fast-moving, small-team cultures (startups, growth-stage, or small teams within larger orgs)
- Engineers who have already adopted AI coding tools in their workflow (Cursor, Copilot, Claude Code, Codex, Windsurf, etc.)
- Desired personality or work style:
- Self-directed and autonomous - our team runs 1-week cycles with minimal process, no sprint planning or backlog grooming
- Comfortable with AI-first development - must be willing to use AI agents as the primary coding method, not just autocomplete
- Pragmatic and ship-oriented - we demo every Friday, everyone presents
- Collaborative - ideas come from everywhere (engineering, design, product)
- Comfortable with ambiguity and fast iteration - "ship-to-learn, not plan-to-ship"
- Willing to work outside their comfort zone when needed
- Key attributes or values sought in the candidate:
- Resourcefulness with AI tools - uses agents to bridge knowledge gaps rather than waiting to become an expert before contributing
- Bias toward action - ship fast, iterate, learn
- Strong communication - reaches out early for clarity rather than spinning in isolation
- daptability - can pick up new parts of the codebase quickly and contribute meaningfully
- Hiring timeline and deadlines: ASAP - active need
- Interview process (who, how many rounds): 1 culture fit interview to assess team alignment and working style 1 pairing session where the candidate shares their screen, brings their preferred AI coding tools (IDE, CLI, or similar), and pair-programs on a simple Windows/macOS desktop project
- Location and remote work options: Remote
- Time zone preferences or travel requirements: US EST
- Challenges in hiring for this role in the past (if applicable):
- Finding engineers who are genuinely comfortable with AI-first development - many claim to use AI tools but still default to writing code by hand. We need people who have actually changed how they work, not just added autocomplete.
- Finding strong desktop application engineers - the industry has shifted heavily toward web and mobile, so experienced desktop engineers are less common than they used to be.
- What has worked well in hiring for similar roles?
- Engineers that are able to delegate properly to coding agents, juggling multiple agents at once
- Engineers that are willing to jump into new territory, balancing their engineering knowledge with their ability to use AI tools to fill in their knowledge gaps
- Engineers that are proactive in delivering over paralyzed in decision - reaching out early for clarity rather than taking too long to deliver something not as expected
- ny additional details or red flags to note about the role or candidate?
- Red flag: Resistance to AI coding tools - our entire team operates this way, and it's non-negotiable
- Red flag: Not being able to work outside of their comfort zone - occasionally you may need to work across frontends and backend services to complete implementation
- Red flag: Engineers who need heavy process or detailed specs to be productive - we move fast with lightweight issue descriptions and expect engineers to fill in gaps using AI tools and good judgment
- Note: The codebase is a monorepo covering iOS, Android, Desktop, Cloud Functions, and Web. This role focuses on Desktop but may occasionally touch adjacent areas.
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
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