{"id":1329878,"url":"https://alion.io/job/pictorlabs-senior-software-engineer","title":"Senior Software Engineer","company":{"id":3832348,"name":"Pictorlabs","domain":"pictorlabs.ai","url":"https://alion.io/company/pictorlabs","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Paycom","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Node JS","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Ansible","optional":true},{"name":"CloudFormation","optional":true},{"name":"gRPC","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"Terraform","optional":true},{"name":"WebSockets","optional":true}],"status":"live","first_seen_at":"2026-09-27T09:05:28Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-09-30T19:22:42Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Pictor Labs\nPictor Labs is the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.\nOur breakthrough DeepStain™and ReStain™technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.\nResponsibilities:\nDesign and implement REST APIs and web-based applications for PictorLabs cloud services and Pictor Edge device configuration, monitoring, and management\nDevelop intuitive web UI for both cloud-based virtual staining workflows and edge device deployment and configuration\nBuild and maintain backend services that seamlessly operate across cloud (AWS) infrastructure and edge device environments\nDesign and implement efficient database schemas for cloud service management, edge device management, inference job tracking, results storage, and audit logging optimized for low latency responses\nArchitect and implement containerized AI/ML inference pipelines for deployment on both cloud infrastructure and edge devices (NVIDIA DGX hardware)\nIsolate and address performance issues end-to-end for large pathology slide images across cloud and edge deployments\nImplement comprehensive observability solutions including telemetry, logging, monitoring, and alerting for distributed cloud and edge deployments\nWrite clean and extensible Python, TypeScript, and Node.js code with production-grade security, scalability, and debuggability best practices\nEnsure all software implementations meet FDA compliance requirements (21 CFR Part 11, 820) and SOC2 security standards for both cloud services and edge devices\nWork closely with ML Engineering, ML Research, and Edge Device teams to integrate AI models into production-ready inference services\nParticipate in design reviews, code reviews, and architecture discussions to maintain high software quality standards\nIdentify performance bottlenecks in inference pipelines, cloud services, and edge-to-cloud communication. Deliver optimized solutions to address them\nDevelop and maintain comprehensive technical documentation including API specifications, deployment guides, and security documentation for regulatory submissions\nParticipate in on-call rotation, incident management, and root cause analysis to improve system reliability\nCollaborate with QA teams to implement automated testing within CI/CD pipelines for both cloud and edge deployments\nQualifications\nMinimum Requirements:\nBachelor's Degree (Master's Degree preferred) in Computer Science, Engineering, Mathematics, or related field\n5-7 years of software development experience building distributed systems and web applications\n4+ years of experience designing and implementing REST APIs and backend services in production environments\n3+ years of experience with AI/ML application development, including deploying and optimizing inference services\n4+ years of hands-on experience with Python and TypeScript/JavaScript for backend and frontend development\n3+ years of experience with cloud infrastructure (AWS preferred) including services such as EC2, S3, EKS, ECR, Lambda, and CloudWatch\n3+ years of experience with containerization technologies (Docker, Kubernetes) for both cloud and edge deployments\n3+ years of experience with database design and implementation (SQL and NoSQL databases)\n2+ years of experience developing software in regulated environments with understanding of FDA and/or SOC2 compliance requirements\nExperience with observability platforms and tools (e.g., Prometheus, Grafana, CloudWatch, DataDog, or similar)\nStrong understanding of DevOps practices and CI/CD pipelines\nExperience with frontend frameworks such as React for building web-based management interfaces\nExcellent problem-solving skills and attention to detail\nComfortable with ambiguity and ability to thrive in a fast-paced startup environment\nStrong written and verbal communication skills for cross-functional collaboration\nNice to Have:\nKnowledge of medical imaging formats and workflows (DICOM, whole slide imaging, digital pathology)\nExperience with edge computing architectures and hybrid cloud-edge deployments\nFamiliarity with ML frameworks such as PyTorch and TensorFlow\nExperience with image processing, streaming large binary data and optimizing data transfer between edge and cloud\nKnowledge of IEC/ISO standards such as 62304, 14971, 13485, 27001, or UL 2900\nExperience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible)\nPrior experience in healthcare technology, medical devices, or biotechnology industries\nExperience with WebSocket or gRPC for real-time communication\nKnowledge of cybersecurity best practices for medical device software\nEqual Employment Opportunity\nPictor Labs is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.\nCCPA Notice\nCCPA Notice at Collection - If you are a California resident, please review our California Applicant Privacy Notice, available at pictorlabs.ai/applicant-privacy-notice, which describes how we collect and use personal information in connection with your application.","description_format":"text","description_chars":5677,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Medical Imaging Systems","Medical AI"],"lifecycle":[{"event":"open","at":"2026-09-27T09:05:28Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":47,"reasons":["conf:10","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pictorlabs-senior-software-engineer","json_url":"https://alion.io/job/pictorlabs-senior-software-engineer.json","meta":{"generated_at":"2026-10-01T09:48:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":564,"day_limit":5000,"remaining_today":4436,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}