  The success of employment is highly related to a job seeker's capability of
communicating and collaborating with others. While leveraging one's network
during the job-seeking process is intuitive to the neurotypical, this can be
challenging for people with autism. Recent empirical findings have started to
show how facilitating collaboration between people with autism and their social
surroundings through new design can improve their chances of employment. This
work aims to provide actionable guidelines and conceptual frameworks that
future researchers and practitioners can apply to improve collaborative design
for job-seekers with autism. Built upon the literature on past technological
interventions built for supporting job-seekers with autism, we define three
major research challenges of (1) communication support, (2) employment
stage-wise support, and (3) group work support. For each challenge, we review
the current state-of-the-art practices and possible future solutions. We then
suggest future designs that can provide breakthroughs from the
interdisciplinary lens of human-AI collaboration, health services, group work,
accessibility computing, and natural language processing.
